Overview

Dataset statistics

Number of variables108
Number of observations1827125
Missing cells17323043
Missing cells (%)8.8%
Total size in memory1.5 GiB
Average record size in memory864.0 B

Variable types

Numeric85
Categorical23

Alerts

policy_code has constant value "1"Constant
emp_title has a high cardinality: 401005 distinct valuesHigh cardinality
issue_d has a high cardinality: 72 distinct valuesHigh cardinality
title has a high cardinality: 29126 distinct valuesHigh cardinality
zip_code has a high cardinality: 951 distinct valuesHigh cardinality
addr_state has a high cardinality: 51 distinct valuesHigh cardinality
earliest_cr_line has a high cardinality: 743 distinct valuesHigh cardinality
last_pymnt_d has a high cardinality: 73 distinct valuesHigh cardinality
last_credit_pull_d has a high cardinality: 75 distinct valuesHigh cardinality
pymnt_plan is highly imbalanced (> 99.9%)Imbalance
title is highly imbalanced (81.7%)Imbalance
next_pymnt_d is highly imbalanced (99.8%)Imbalance
last_credit_pull_d is highly imbalanced (57.1%)Imbalance
application_type is highly imbalanced (68.8%)Imbalance
hardship_flag is highly imbalanced (> 99.9%)Imbalance
disbursement_method is highly imbalanced (76.8%)Imbalance
debt_settlement_flag is highly imbalanced (92.4%)Imbalance
emp_title has 134953 (7.4%) missing valuesMissing
emp_length has 119754 (6.6%) missing valuesMissing
title has 18826 (1.0%) missing valuesMissing
mths_since_last_delinq has 932516 (51.0%) missing valuesMissing
mths_since_last_record has 1532158 (83.9%) missing valuesMissing
next_pymnt_d has 998994 (54.7%) missing valuesMissing
mths_since_last_major_derog has 1346127 (73.7%) missing valuesMissing
open_acc_6m has 642717 (35.2%) missing valuesMissing
open_act_il has 642716 (35.2%) missing valuesMissing
open_il_12m has 642716 (35.2%) missing valuesMissing
open_il_24m has 642716 (35.2%) missing valuesMissing
mths_since_rcnt_il has 679739 (37.2%) missing valuesMissing
total_bal_il has 642716 (35.2%) missing valuesMissing
il_util has 815757 (44.6%) missing valuesMissing
open_rv_12m has 642716 (35.2%) missing valuesMissing
open_rv_24m has 642716 (35.2%) missing valuesMissing
max_bal_bc has 642716 (35.2%) missing valuesMissing
all_util has 642907 (35.2%) missing valuesMissing
inq_fi has 642716 (35.2%) missing valuesMissing
total_cu_tl has 642717 (35.2%) missing valuesMissing
inq_last_12m has 642717 (35.2%) missing valuesMissing
bc_open_to_buy has 20443 (1.1%) missing valuesMissing
bc_util has 21354 (1.2%) missing valuesMissing
mo_sin_old_il_acct has 56895 (3.1%) missing valuesMissing
mths_since_recent_bc has 19238 (1.1%) missing valuesMissing
mths_since_recent_bc_dlq has 1396890 (76.5%) missing valuesMissing
mths_since_recent_inq has 206528 (11.3%) missing valuesMissing
mths_since_recent_revol_delinq has 1216894 (66.6%) missing valuesMissing
num_tl_120dpd_2m has 68149 (3.7%) missing valuesMissing
percent_bc_gt_75 has 20805 (1.1%) missing valuesMissing
annual_inc is highly skewed (γ1 = 494.6256979)Skewed
dti is highly skewed (γ1 = 29.45250626)Skewed
total_rec_late_fee is highly skewed (γ1 = 23.6143367)Skewed
acc_now_delinq is highly skewed (γ1 = 23.19662341)Skewed
tot_coll_amt is highly skewed (γ1 = 832.2847402)Skewed
total_rev_hi_lim is highly skewed (γ1 = 35.97309408)Skewed
delinq_amnt is highly skewed (γ1 = 93.79664799)Skewed
num_tl_120dpd_2m is highly skewed (γ1 = 54.07373823)Skewed
num_tl_30dpd is highly skewed (γ1 = 22.79268121)Skewed
tax_liens is highly skewed (γ1 = 25.83376408)Skewed
delinq_2yrs has 1484599 (81.3%) zerosZeros
inq_last_6mths has 1136952 (62.2%) zerosZeros
pub_rec has 1532158 (83.9%) zerosZeros
out_prncp has 1004034 (55.0%) zerosZeros
out_prncp_inv has 1004034 (55.0%) zerosZeros
total_rec_late_fee has 1774112 (97.1%) zerosZeros
recoveries has 1739353 (95.2%) zerosZeros
collection_recovery_fee has 1741597 (95.3%) zerosZeros
collections_12_mths_ex_med has 1796059 (98.3%) zerosZeros
acc_now_delinq has 1819843 (99.6%) zerosZeros
tot_coll_amt has 1548464 (84.7%) zerosZeros
open_acc_6m has 537778 (29.4%) zerosZeros
open_act_il has 141255 (7.7%) zerosZeros
open_il_12m has 649927 (35.6%) zerosZeros
open_il_24m has 322930 (17.7%) zerosZeros
total_bal_il has 135208 (7.4%) zerosZeros
open_rv_12m has 440234 (24.1%) zerosZeros
open_rv_24m has 192876 (10.6%) zerosZeros
max_bal_bc has 30363 (1.7%) zerosZeros
inq_fi has 594798 (32.6%) zerosZeros
total_cu_tl has 640027 (35.0%) zerosZeros
inq_last_12m has 344818 (18.9%) zerosZeros
acc_open_past_24mths has 84151 (4.6%) zerosZeros
bc_open_to_buy has 24345 (1.3%) zerosZeros
bc_util has 23267 (1.3%) zerosZeros
chargeoff_within_12_mths has 1812911 (99.2%) zerosZeros
delinq_amnt has 1821205 (99.7%) zerosZeros
mo_sin_rcnt_rev_tl_op has 27549 (1.5%) zerosZeros
mo_sin_rcnt_tl has 28524 (1.6%) zerosZeros
mort_acc has 759908 (41.6%) zerosZeros
mths_since_recent_inq has 135908 (7.4%) zerosZeros
num_accts_ever_120_pd has 1409969 (77.2%) zerosZeros
num_actv_bc_tl has 41797 (2.3%) zerosZeros
num_bc_sats has 19544 (1.1%) zerosZeros
num_il_tl has 57013 (3.1%) zerosZeros
num_tl_120dpd_2m has 1757916 (96.2%) zerosZeros
num_tl_30dpd has 1822304 (99.7%) zerosZeros
num_tl_90g_dpd_24m has 1730369 (94.7%) zerosZeros
num_tl_op_past_12m has 352610 (19.3%) zerosZeros
percent_bc_gt_75 has 506169 (27.7%) zerosZeros
pub_rec_bankruptcies has 1602654 (87.7%) zerosZeros
tax_liens has 1773569 (97.1%) zerosZeros
total_bc_limit has 20805 (1.1%) zerosZeros
total_il_high_credit_limit has 219702 (12.0%) zerosZeros
loan_status_dv has 133526 (7.3%) zerosZeros

Reproduction

Analysis started2023-03-02 06:38:48.383500
Analysis finished2023-03-02 06:39:06.286294
Duration17.9 seconds
Software versionpandas-profiling vv3.6.2
Download configurationconfig.json

Variables

loan_amnt
Real number (ℝ)

Distinct1561
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15104.92001
Minimum1000
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:06.398600image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3300
Q18000
median13000
Q320000
95-th percentile35000
Maximum40000
Range39000
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation9232.36546
Coefficient of variation (CV)0.6112157796
Kurtosis-0.1271416889
Mean15104.92001
Median Absolute Deviation (MAD)6200
Skewness0.77717064
Sum2.759857698 × 1010
Variance85236571.99
MonotonicityNot monotonic
2023-03-02T01:39:06.498139image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 153605
 
8.4%
20000 107197
 
5.9%
15000 100974
 
5.5%
12000 98246
 
5.4%
35000 69744
 
3.8%
5000 69198
 
3.8%
8000 61024
 
3.3%
6000 58359
 
3.2%
25000 54033
 
3.0%
16000 53982
 
3.0%
Other values (1551) 1000763
54.8%
ValueCountFrequency (%)
1000 8063
0.4%
1025 30
 
< 0.1%
1050 39
 
< 0.1%
1075 18
 
< 0.1%
1100 210
 
< 0.1%
ValueCountFrequency (%)
40000 28696
1.6%
39975 8
 
< 0.1%
39950 9
 
< 0.1%
39925 13
 
< 0.1%
39900 20
 
< 0.1%

funded_amnt
Real number (ℝ)

Distinct1561
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15104.90593
Minimum1000
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:06.591376image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3300
Q18000
median13000
Q320000
95-th percentile35000
Maximum40000
Range39000
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation9232.365718
Coefficient of variation (CV)0.6112163664
Kurtosis-0.1271370033
Mean15104.90593
Median Absolute Deviation (MAD)6200
Skewness0.7771741735
Sum2.759855125 × 1010
Variance85236576.75
MonotonicityNot monotonic
2023-03-02T01:39:06.679251image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 153607
 
8.4%
20000 107194
 
5.9%
15000 100974
 
5.5%
12000 98246
 
5.4%
35000 69744
 
3.8%
5000 69197
 
3.8%
8000 61024
 
3.3%
6000 58359
 
3.2%
25000 54032
 
3.0%
16000 53982
 
3.0%
Other values (1551) 1000766
54.8%
ValueCountFrequency (%)
1000 8063
0.4%
1025 30
 
< 0.1%
1050 39
 
< 0.1%
1075 18
 
< 0.1%
1100 210
 
< 0.1%
ValueCountFrequency (%)
40000 28696
1.6%
39975 8
 
< 0.1%
39950 9
 
< 0.1%
39925 13
 
< 0.1%
39900 20
 
< 0.1%

funded_amnt_inv
Real number (ℝ)

Distinct1582
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15099.90817
Minimum725
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:06.770486image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum725
5-th percentile3300
Q18000
median13000
Q320000
95-th percentile35000
Maximum40000
Range39275
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation9230.35218
Coefficient of variation (CV)0.6112853188
Kurtosis-0.1267270516
Mean15099.90817
Median Absolute Deviation (MAD)6200
Skewness0.7773471563
Sum2.758941972 × 1010
Variance85199401.36
MonotonicityNot monotonic
2023-03-02T01:39:06.857508image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 147388
 
8.1%
20000 100066
 
5.5%
15000 95100
 
5.2%
12000 93425
 
5.1%
5000 67714
 
3.7%
35000 62406
 
3.4%
8000 58865
 
3.2%
6000 56964
 
3.1%
16000 50927
 
2.8%
25000 50559
 
2.8%
Other values (1572) 1043711
57.1%
ValueCountFrequency (%)
725 5
 
< 0.1%
750 36
< 0.1%
775 1
 
< 0.1%
800 1
 
< 0.1%
850 1
 
< 0.1%
ValueCountFrequency (%)
40000 27324
1.5%
39975 530
 
< 0.1%
39950 180
 
< 0.1%
39925 50
 
< 0.1%
39900 25
 
< 0.1%

term
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
36 months
1308593 
60 months
518532 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 36 months
2nd row 60 months
3rd row 36 months
4th row 36 months
5th row 60 months

Common Values

ValueCountFrequency (%)
36 months 1308593
71.6%
60 months 518532
 
28.4%

Common Values (Plot)

2023-03-02T01:39:06.949084image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

int_rate
Real number (ℝ)

Distinct356
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.92466571
Minimum5.31
Maximum30.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:07.019439image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum5.31
5-th percentile6.39
Q19.44
median12.49
Q315.61
95-th percentile21.97
Maximum30.99
Range25.68
Interquartile range (IQR)6.17

Descriptive statistics

Standard deviation4.797678568
Coefficient of variation (CV)0.3712033005
Kurtosis0.6563715229
Mean12.92466571
Median Absolute Deviation (MAD)3.1
Skewness0.7945645918
Sum23614979.83
Variance23.01771964
MonotonicityNot monotonic
2023-03-02T01:39:07.207946image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.99 45205
 
2.5%
5.32 41983
 
2.3%
10.99 36884
 
2.0%
13.99 34417
 
1.9%
11.49 26387
 
1.4%
7.89 24859
 
1.4%
16.99 24548
 
1.3%
12.99 24158
 
1.3%
9.17 24043
 
1.3%
14.99 20670
 
1.1%
Other values (346) 1523971
83.4%
ValueCountFrequency (%)
5.31 7796
 
0.4%
5.32 41983
2.3%
5.93 1585
 
0.1%
6 565
 
< 0.1%
6.03 7677
 
0.4%
ValueCountFrequency (%)
30.99 568
< 0.1%
30.94 540
< 0.1%
30.89 513
< 0.1%
30.84 547
< 0.1%
30.79 1210
0.1%

installment
Real number (ℝ)

Distinct86800
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446.8588669
Minimum4.93
Maximum1719.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:07.294006image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum4.93
5-th percentile111.51
Q1252.39
median378.07
Q3595.13
95-th percentile988.42
Maximum1719.83
Range1714.9
Interquartile range (IQR)342.74

Descriptive statistics

Standard deviation267.7795379
Coefficient of variation (CV)0.599248572
Kurtosis0.670051593
Mean446.8588669
Median Absolute Deviation (MAD)157.86
Skewness0.9997070946
Sum816467007.2
Variance71705.88091
MonotonicityNot monotonic
2023-03-02T01:39:07.376805image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301.15 3922
 
0.2%
332.1 3491
 
0.2%
361.38 3258
 
0.2%
327.34 2860
 
0.2%
602.3 2759
 
0.2%
451.73 2753
 
0.2%
329.72 2201
 
0.1%
166.05 2131
 
0.1%
180.69 2111
 
0.1%
240.92 2052
 
0.1%
Other values (86790) 1799587
98.5%
ValueCountFrequency (%)
4.93 1
< 0.1%
7.61 1
< 0.1%
14.01 1
< 0.1%
14.77 1
< 0.1%
23.36 1
< 0.1%
ValueCountFrequency (%)
1719.83 2
< 0.1%
1715.42 1
 
< 0.1%
1714.54 4
< 0.1%
1691.28 2
< 0.1%
1670.15 1
 
< 0.1%

grade
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
B
545251 
C
526609 
A
364225 
D
252458 
E
100892 
Other values (2)
 
37690

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowE
3rd rowC
4th rowC
5th rowB

Common Values

ValueCountFrequency (%)
B 545251
29.8%
C 526609
28.8%
A 364225
19.9%
D 252458
13.8%
E 100892
 
5.5%
F 29373
 
1.6%
G 8317
 
0.5%

Common Values (Plot)

2023-03-02T01:39:07.471977image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

sub_grade
Categorical

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
C1
 
118570
B4
 
114430
B5
 
114176
B3
 
106164
C2
 
105652
Other values (30)
1268133 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA5
2nd rowE5
3rd rowC5
4th rowC2
5th rowB1

Common Values

ValueCountFrequency (%)
C1 118570
 
6.5%
B4 114430
 
6.3%
B5 114176
 
6.2%
B3 106164
 
5.8%
C2 105652
 
5.8%
C3 105348
 
5.8%
B2 105251
 
5.8%
B1 105230
 
5.8%
C4 102835
 
5.6%
C5 94204
 
5.2%
Other values (25) 755265
41.3%

emp_title
Categorical

HIGH CARDINALITY  MISSING 

Distinct401005
Distinct (%)23.7%
Missing134953
Missing (%)7.4%
Memory size13.9 MiB
Teacher
 
33007
Manager
 
28941
Owner
 
18393
Registered Nurse
 
13430
RN
 
12506
Other values (401000)
1585895 

Unique

Unique301662 ?
Unique (%)17.8%

Sample

1st rowCNC Robotic Welder
2nd rowInformation Tech II
3rd rowEngineer
4th rowwarehouse
5th rowGeneral manager

Common Values

ValueCountFrequency (%)
Teacher 33007
 
1.8%
Manager 28941
 
1.6%
Owner 18393
 
1.0%
Registered Nurse 13430
 
0.7%
RN 12506
 
0.7%
Driver 12209
 
0.7%
Supervisor 11992
 
0.7%
Sales 10901
 
0.6%
Project Manager 9371
 
0.5%
Office Manager 8319
 
0.5%
Other values (400995) 1533103
83.9%
(Missing) 134953
 
7.4%

emp_length
Categorical

Distinct11
Distinct (%)< 0.1%
Missing119754
Missing (%)6.6%
Memory size13.9 MiB
10+ years
613005 
2 years
163893 
< 1 year
152272 
3 years
145421 
1 year
118789 
Other values (6)
513991 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10+ years
2nd row10+ years
3rd row1 year
4th row< 1 year
5th row4 years

Common Values

ValueCountFrequency (%)
10+ years 613005
33.6%
2 years 163893
 
9.0%
< 1 year 152272
 
8.3%
3 years 145421
 
8.0%
1 year 118789
 
6.5%
5 years 111314
 
6.1%
4 years 108867
 
6.0%
6 years 81686
 
4.5%
7 years 74005
 
4.1%
8 years 73893
 
4.0%
(Missing) 119754
 
6.6%

home_ownership
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
MORTGAGE
908212 
RENT
711059 
OWN
206992 
ANY
 
858
NONE
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMORTGAGE
2nd rowRENT
3rd rowMORTGAGE
4th rowRENT
5th rowRENT

Common Values

ValueCountFrequency (%)
MORTGAGE 908212
49.7%
RENT 711059
38.9%
OWN 206992
 
11.3%
ANY 858
 
< 0.1%
NONE 4
 
< 0.1%

Common Values (Plot)

2023-03-02T01:39:07.635321image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

annual_inc
Real number (ℝ)

Distinct77785
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78792.04977
Minimum0
Maximum110000000
Zeros1411
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:07.715543image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28000
Q147000
median65000
Q395000
95-th percentile165000
Maximum110000000
Range110000000
Interquartile range (IQR)48000

Descriptive statistics

Standard deviation120752.5452
Coefficient of variation (CV)1.532547326
Kurtosis411939.4859
Mean78792.04977
Median Absolute Deviation (MAD)22000
Skewness494.6256979
Sum1.439629239 × 1011
Variance1.458117716 × 1010
MonotonicityNot monotonic
2023-03-02T01:39:07.799634image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60000 70188
 
3.8%
50000 61526
 
3.4%
65000 52547
 
2.9%
70000 50393
 
2.8%
80000 48802
 
2.7%
40000 47978
 
2.6%
75000 47577
 
2.6%
45000 43526
 
2.4%
55000 41689
 
2.3%
100000 38681
 
2.1%
Other values (77775) 1324218
72.5%
ValueCountFrequency (%)
0 1411
0.1%
0.36 1
 
< 0.1%
1 39
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
110000000 1
< 0.1%
61000000 1
< 0.1%
10999200 1
< 0.1%
9930475 1
< 0.1%
9757200 1
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
Source Verified
726653 
Not Verified
608233 
Verified
492239 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVerified
2nd rowSource Verified
3rd rowSource Verified
4th rowSource Verified
5th rowNot Verified

Common Values

ValueCountFrequency (%)
Source Verified 726653
39.8%
Not Verified 608233
33.3%
Verified 492239
26.9%

Common Values (Plot)

2023-03-02T01:39:07.881092image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

issue_d
Categorical

Distinct72
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
Mar-2016
 
51299
Oct-2018
 
41094
Aug-2018
 
40581
Oct-2015
 
40470
May-2018
 
40023
Other values (67)
1613658 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNov-2018
2nd rowNov-2018
3rd rowNov-2018
4th rowNov-2018
5th rowNov-2018

Common Values

ValueCountFrequency (%)
Mar-2016 51299
 
2.8%
Oct-2018 41094
 
2.2%
Aug-2018 40581
 
2.2%
Oct-2015 40470
 
2.2%
May-2018 40023
 
2.2%
Jul-2015 38205
 
2.1%
Jul-2018 37783
 
2.1%
Nov-2018 37388
 
2.0%
Apr-2018 37054
 
2.0%
Aug-2017 36735
 
2.0%
Other values (62) 1426493
78.1%

loan_status
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
Fully Paid
865468 
Current
828131 
Charged Off
133526 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCharged Off
2nd rowCharged Off
3rd rowCharged Off
4th rowCharged Off
5th rowCharged Off

Common Values

ValueCountFrequency (%)
Fully Paid 865468
47.4%
Current 828131
45.3%
Charged Off 133526
 
7.3%

Common Values (Plot)

2023-03-02T01:39:07.954130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

pymnt_plan
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
n
1827122 
y
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rown
2nd rown
3rd rown
4th rown
5th rown

Common Values

ValueCountFrequency (%)
n 1827122
> 99.9%
y 3
 
< 0.1%

Common Values (Plot)

2023-03-02T01:39:08.021662image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

purpose
Categorical

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
debt_consolidation
1030993 
credit_card
427846 
home_improvement
122650 
other
111160 
major_purchase
 
39471
Other values (9)
 
95005

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdebt_consolidation
2nd rowdebt_consolidation
3rd rowdebt_consolidation
4th rowhome_improvement
5th rowdebt_consolidation

Common Values

ValueCountFrequency (%)
debt_consolidation 1030993
56.4%
credit_card 427846
23.4%
home_improvement 122650
 
6.7%
other 111160
 
6.1%
major_purchase 39471
 
2.2%
medical 21874
 
1.2%
car 18458
 
1.0%
small_business 17414
 
1.0%
vacation 12536
 
0.7%
moving 11953
 
0.7%
Other values (4) 12770
 
0.7%

title
Categorical

HIGH CARDINALITY  IMBALANCE  MISSING 

Distinct29126
Distinct (%)1.6%
Missing18826
Missing (%)1.0%
Memory size13.9 MiB
Debt consolidation
965190 
Credit card refinancing
400122 
Home improvement
116412 
Other
107130 
Major purchase
 
37655
Other values (29121)
181790 

Unique

Unique24375 ?
Unique (%)1.3%

Sample

1st rowDebt consolidation
2nd rowDebt consolidation
3rd rowDebt consolidation
4th rowHome improvement
5th rowDebt consolidation

Common Values

ValueCountFrequency (%)
Debt consolidation 965190
52.8%
Credit card refinancing 400122
21.9%
Home improvement 116412
 
6.4%
Other 107130
 
5.9%
Major purchase 37655
 
2.1%
Medical expenses 21190
 
1.2%
Car financing 17540
 
1.0%
Business 16669
 
0.9%
Vacation 12120
 
0.7%
Moving and relocation 11437
 
0.6%
Other values (29116) 102834
 
5.6%
(Missing) 18826
 
1.0%

zip_code
Categorical

Distinct951
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size13.9 MiB
750xx
 
19152
945xx
 
19062
112xx
 
18833
606xx
 
17116
300xx
 
16620
Other values (946)
1736341 

Unique

Unique37 ?
Unique (%)< 0.1%

Sample

1st row852xx
2nd row612xx
3rd row231xx
4th row750xx
5th row551xx

Common Values

ValueCountFrequency (%)
750xx 19152
 
1.0%
945xx 19062
 
1.0%
112xx 18833
 
1.0%
606xx 17116
 
0.9%
300xx 16620
 
0.9%
331xx 15112
 
0.8%
070xx 14564
 
0.8%
770xx 14210
 
0.8%
891xx 13728
 
0.8%
330xx 13553
 
0.7%
Other values (941) 1665174
91.1%

addr_state
Categorical

Distinct51
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
CA
251377 
TX
151206 
NY
148155 
FL
130070 
IL
 
74430
Other values (46)
1071887 

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowAZ
2nd rowIL
3rd rowVA
4th rowTX
5th rowMN

Common Values

ValueCountFrequency (%)
CA 251377
 
13.8%
TX 151206
 
8.3%
NY 148155
 
8.1%
FL 130070
 
7.1%
IL 74430
 
4.1%
NJ 66540
 
3.6%
PA 61897
 
3.4%
OH 61234
 
3.4%
GA 60187
 
3.3%
NC 50772
 
2.8%
Other values (41) 771257
42.2%

dti
Real number (ℝ)

Distinct10314
Distinct (%)0.6%
Missing1451
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.89208019
Minimum-1
Maximum999
Zeros1255
Zeros (%)0.1%
Negative2
Negative (%)< 0.1%
Memory size13.9 MiB
2023-03-02T01:39:08.094782image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile5.01
Q111.93
median17.86
Q324.56
95-th percentile33.97
Maximum999
Range1000
Interquartile range (IQR)12.63

Descriptive statistics

Standard deviation14.44895572
Coefficient of variation (CV)0.7648154984
Kurtosis1745.614848
Mean18.89208019
Median Absolute Deviation (MAD)6.28
Skewness29.45250626
Sum34490779.6
Variance208.7723215
MonotonicityNot monotonic
2023-03-02T01:39:08.177639image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.8 1264
 
0.1%
18 1263
 
0.1%
0 1255
 
0.1%
14.4 1249
 
0.1%
19.2 1223
 
0.1%
15.6 1215
 
0.1%
13.2 1193
 
0.1%
12 1176
 
0.1%
21.6 1116
 
0.1%
20.4 1114
 
0.1%
Other values (10304) 1813606
99.3%
(Missing) 1451
 
0.1%
ValueCountFrequency (%)
-1 2
 
< 0.1%
0 1255
0.1%
0.01 16
 
< 0.1%
0.02 22
 
< 0.1%
0.03 14
 
< 0.1%
ValueCountFrequency (%)
999 118
< 0.1%
995.6 1
 
< 0.1%
995.17 1
 
< 0.1%
994.4 1
 
< 0.1%
991.57 1
 
< 0.1%

delinq_2yrs
Real number (ℝ)

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3089728398
Minimum0
Maximum58
Zeros1484599
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:08.255179image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8714710749
Coefficient of variation (CV)2.820542658
Kurtosis74.72615872
Mean0.3089728398
Median Absolute Deviation (MAD)0
Skewness5.942427781
Sum564532
Variance0.7594618344
MonotonicityNot monotonic
2023-03-02T01:39:08.327788image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1484599
81.3%
1 228466
 
12.5%
2 66073
 
3.6%
3 23965
 
1.3%
4 10792
 
0.6%
5 5372
 
0.3%
6 3062
 
0.2%
7 1690
 
0.1%
8 994
 
0.1%
9 668
 
< 0.1%
Other values (25) 1444
 
0.1%
ValueCountFrequency (%)
0 1484599
81.3%
1 228466
 
12.5%
2 66073
 
3.6%
3 23965
 
1.3%
4 10792
 
0.6%
ValueCountFrequency (%)
58 1
< 0.1%
42 1
< 0.1%
39 1
< 0.1%
35 1
< 0.1%
32 1
< 0.1%

earliest_cr_line
Categorical

Distinct743
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
Sep-2004
 
12652
Sep-2003
 
12497
Sep-2005
 
12187
Aug-2003
 
12126
Aug-2004
 
11835
Other values (738)
1765828 

Unique

Unique33 ?
Unique (%)< 0.1%

Sample

1st rowApr-2011
2nd rowNov-2008
3rd rowJun-2006
4th rowJun-2005
5th rowFeb-2013

Common Values

ValueCountFrequency (%)
Sep-2004 12652
 
0.7%
Sep-2003 12497
 
0.7%
Sep-2005 12187
 
0.7%
Aug-2003 12126
 
0.7%
Aug-2004 11835
 
0.6%
Aug-2005 11739
 
0.6%
Aug-2002 11691
 
0.6%
Aug-2006 11642
 
0.6%
Aug-2001 11612
 
0.6%
Oct-2003 11367
 
0.6%
Other values (733) 1707777
93.5%

inq_last_6mths
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.5500332763
Minimum0
Maximum6
Zeros1136952
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:08.397702image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8521121568
Coefficient of variation (CV)1.5492011
Kurtosis4.032155047
Mean0.5500332763
Median Absolute Deviation (MAD)0
Skewness1.851604359
Sum1004979
Variance0.7260951277
MonotonicityNot monotonic
2023-03-02T01:39:08.452163image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1136952
62.2%
1 467651
25.6%
2 153931
 
8.4%
3 50666
 
2.8%
4 12820
 
0.7%
5 4436
 
0.2%
6 668
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0 1136952
62.2%
1 467651
25.6%
2 153931
 
8.4%
3 50666
 
2.8%
4 12820
 
0.7%
ValueCountFrequency (%)
6 668
 
< 0.1%
5 4436
 
0.2%
4 12820
 
0.7%
3 50666
 
2.8%
2 153931
8.4%

mths_since_last_delinq
Real number (ℝ)

Distinct169
Distinct (%)< 0.1%
Missing932516
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean34.56522906
Minimum0
Maximum226
Zeros1520
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:08.531750image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median31
Q350
95-th percentile74
Maximum226
Range226
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.89846148
Coefficient of variation (CV)0.6335401812
Kurtosis-0.6927146651
Mean34.56522906
Median Absolute Deviation (MAD)17
Skewness0.4604739421
Sum30922365
Variance479.5426151
MonotonicityNot monotonic
2023-03-02T01:39:08.612993image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 17021
 
0.9%
13 16805
 
0.9%
6 16762
 
0.9%
9 16507
 
0.9%
7 16334
 
0.9%
14 16103
 
0.9%
8 15901
 
0.9%
15 15800
 
0.9%
10 15730
 
0.9%
19 15443
 
0.8%
Other values (159) 732203
40.1%
(Missing) 932516
51.0%
ValueCountFrequency (%)
0 1520
 
0.1%
1 5835
0.3%
2 8005
0.4%
3 10671
0.6%
4 12682
0.7%
ValueCountFrequency (%)
226 1
< 0.1%
195 1
< 0.1%
192 1
< 0.1%
188 2
< 0.1%
178 1
< 0.1%

mths_since_last_record
Real number (ℝ)

Distinct128
Distinct (%)< 0.1%
Missing1532158
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean72.46160079
Minimum0
Maximum127
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:08.752662image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q155
median74
Q392
95-th percentile113
Maximum127
Range127
Interquartile range (IQR)37

Descriptive statistics

Standard deviation26.11482846
Coefficient of variation (CV)0.3603954118
Kurtosis-0.4747686828
Mean72.46160079
Median Absolute Deviation (MAD)19
Skewness-0.3322906625
Sum21373781
Variance681.9842654
MonotonicityNot monotonic
2023-03-02T01:39:08.840130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 4520
 
0.2%
80 4507
 
0.2%
77 4470
 
0.2%
82 4462
 
0.2%
76 4418
 
0.2%
75 4381
 
0.2%
78 4357
 
0.2%
81 4349
 
0.2%
71 4291
 
0.2%
72 4255
 
0.2%
Other values (118) 250957
 
13.7%
(Missing) 1532158
83.9%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 133
< 0.1%
2 147
< 0.1%
3 260
< 0.1%
4 320
< 0.1%
ValueCountFrequency (%)
127 1
 
< 0.1%
126 4
 
< 0.1%
125 3
 
< 0.1%
124 10
< 0.1%
123 12
< 0.1%

open_acc
Real number (ℝ)

Distinct89
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.66560909
Minimum0
Maximum101
Zeros45
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:08.928489image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q315
95-th percentile22
Maximum101
Range101
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.670287309
Coefficient of variation (CV)0.4860686886
Kurtosis3.42960937
Mean11.66560909
Median Absolute Deviation (MAD)3
Skewness1.315327345
Sum21314526
Variance32.15215817
MonotonicityNot monotonic
2023-03-02T01:39:09.013815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 157482
 
8.6%
10 153061
 
8.4%
8 151829
 
8.3%
11 141321
 
7.7%
7 138844
 
7.6%
12 127153
 
7.0%
6 116459
 
6.4%
13 111156
 
6.1%
14 96241
 
5.3%
5 86850
 
4.8%
Other values (79) 546729
29.9%
ValueCountFrequency (%)
0 45
 
< 0.1%
1 1361
 
0.1%
2 8382
 
0.5%
3 25593
1.4%
4 54163
3.0%
ValueCountFrequency (%)
101 1
< 0.1%
97 1
< 0.1%
94 1
< 0.1%
93 1
< 0.1%
91 1
< 0.1%

pub_rec
Real number (ℝ)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2014350414
Minimum0
Maximum61
Zeros1532158
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:09.093847image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum61
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5710958913
Coefficient of variation (CV)2.835136763
Kurtosis420.9819422
Mean0.2014350414
Median Absolute Deviation (MAD)0
Skewness9.377927721
Sum368047
Variance0.3261505171
MonotonicityNot monotonic
2023-03-02T01:39:09.168426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 1532158
83.9%
1 251690
 
13.8%
2 28115
 
1.5%
3 8721
 
0.5%
4 3204
 
0.2%
5 1542
 
0.1%
6 771
 
< 0.1%
7 348
 
< 0.1%
8 198
 
< 0.1%
9 124
 
< 0.1%
Other values (28) 254
 
< 0.1%
ValueCountFrequency (%)
0 1532158
83.9%
1 251690
 
13.8%
2 28115
 
1.5%
3 8721
 
0.5%
4 3204
 
0.2%
ValueCountFrequency (%)
61 2
< 0.1%
54 1
< 0.1%
52 1
< 0.1%
49 1
< 0.1%
47 1
< 0.1%

revol_bal
Real number (ℝ)

Distinct96294
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16815.62111
Minimum0
Maximum2904836
Zeros9465
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:09.254750image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1624
Q15986
median11376
Q320403
95-th percentile45639
Maximum2904836
Range2904836
Interquartile range (IQR)14417

Descriptive statistics

Standard deviation23121.18116
Coefficient of variation (CV)1.374982286
Kurtosis590.5969326
Mean16815.62111
Median Absolute Deviation (MAD)6413
Skewness12.49207705
Sum3.072424173 × 1010
Variance534589018.3
MonotonicityNot monotonic
2023-03-02T01:39:09.337995image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9465
 
0.5%
8 168
 
< 0.1%
5849 132
 
< 0.1%
10 132
 
< 0.1%
6118 131
 
< 0.1%
5235 130
 
< 0.1%
5265 130
 
< 0.1%
6312 129
 
< 0.1%
4804 127
 
< 0.1%
5 126
 
< 0.1%
Other values (96284) 1816455
99.4%
ValueCountFrequency (%)
0 9465
0.5%
1 94
 
< 0.1%
2 124
 
< 0.1%
3 107
 
< 0.1%
4 125
 
< 0.1%
ValueCountFrequency (%)
2904836 1
< 0.1%
2568995 1
< 0.1%
2560703 1
< 0.1%
2559552 1
< 0.1%
1803041 1
< 0.1%

revol_util
Real number (ℝ)

Distinct1310
Distinct (%)0.1%
Missing1414
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean49.95528619
Minimum0
Maximum892.3
Zeros9946
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:09.426388image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.5
Q131.1
median49.7
Q368.9
95-th percentile90.8
Maximum892.3
Range892.3
Interquartile range (IQR)37.8

Descriptive statistics

Standard deviation24.6365089
Coefficient of variation (CV)0.4931712093
Kurtosis-0.07766158895
Mean49.95528619
Median Absolute Deviation (MAD)18.8
Skewness0.03766438642
Sum91203915.5
Variance606.9575707
MonotonicityNot monotonic
2023-03-02T01:39:09.505002image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9946
 
0.5%
57 3514
 
0.2%
48 3481
 
0.2%
59 3454
 
0.2%
61 3415
 
0.2%
54 3391
 
0.2%
52 3376
 
0.2%
51 3365
 
0.2%
53 3364
 
0.2%
55 3361
 
0.2%
Other values (1300) 1785044
97.7%
ValueCountFrequency (%)
0 9946
0.5%
0.1 1323
 
0.1%
0.2 1089
 
0.1%
0.3 1010
 
0.1%
0.4 878
 
< 0.1%
ValueCountFrequency (%)
892.3 1
< 0.1%
193 1
< 0.1%
184.6 1
< 0.1%
183.8 1
< 0.1%
180.3 1
< 0.1%

total_acc
Real number (ℝ)

Distinct146
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.20318588
Minimum2
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:09.586905image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median22
Q331
95-th percentile46
Maximum165
Range163
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.00401438
Coefficient of variation (CV)0.495968359
Kurtosis1.833052295
Mean24.20318588
Median Absolute Deviation (MAD)8
Skewness1.008831078
Sum44222246
Variance144.0963613
MonotonicityNot monotonic
2023-03-02T01:39:09.672255image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 66777
 
3.7%
18 66227
 
3.6%
19 66174
 
3.6%
21 65605
 
3.6%
17 65603
 
3.6%
16 64175
 
3.5%
22 64083
 
3.5%
23 62806
 
3.4%
15 62258
 
3.4%
24 60881
 
3.3%
Other values (136) 1182536
64.7%
ValueCountFrequency (%)
2 1081
 
0.1%
3 3366
 
0.2%
4 8268
0.5%
5 12987
0.7%
6 19200
1.1%
ValueCountFrequency (%)
165 1
< 0.1%
162 1
< 0.1%
160 1
< 0.1%
156 1
< 0.1%
153 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
w
1298485 
f
528640 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st roww
2nd roww
3rd roww
4th roww
5th rowf

Common Values

ValueCountFrequency (%)
w 1298485
71.1%
f 528640
28.9%

Common Values (Plot)

2023-03-02T01:39:09.758008image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

out_prncp
Real number (ℝ)

Distinct318030
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4762.71171
Minimum0
Maximum39616.66
Zeros1004034
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:09.829214image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37476.28
95-th percentile22322.612
Maximum39616.66
Range39616.66
Interquartile range (IQR)7476.28

Descriptive statistics

Standard deviation7710.913648
Coefficient of variation (CV)1.619017509
Kurtosis3.307326722
Mean4762.71171
Median Absolute Deviation (MAD)0
Skewness1.910341636
Sum8702069634
Variance59458189.29
MonotonicityNot monotonic
2023-03-02T01:39:09.918379image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1004034
55.0%
8717.99 260
 
< 0.1%
9009.59 257
 
< 0.1%
8457.66 254
 
< 0.1%
9493.69 248
 
< 0.1%
8977.01 243
 
< 0.1%
9510.8 231
 
< 0.1%
9506.32 210
 
< 0.1%
9051.41 207
 
< 0.1%
9001.08 206
 
< 0.1%
Other values (318020) 820975
44.9%
ValueCountFrequency (%)
0 1004034
55.0%
0.01 3
 
< 0.1%
0.02 4
 
< 0.1%
0.03 2
 
< 0.1%
0.04 4
 
< 0.1%
ValueCountFrequency (%)
39616.66 1
< 0.1%
39595.02 1
< 0.1%
39571.49 2
< 0.1%
39562.28 1
< 0.1%
39548.64 2
< 0.1%

out_prncp_inv
Real number (ℝ)

Distinct329846
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4761.64386
Minimum0
Maximum39616.66
Zeros1004034
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:10.077538image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37473.24
95-th percentile22319.878
Maximum39616.66
Range39616.66
Interquartile range (IQR)7473.24

Descriptive statistics

Standard deviation7709.969523
Coefficient of variation (CV)1.619182314
Kurtosis3.309230224
Mean4761.64386
Median Absolute Deviation (MAD)0
Skewness1.910743921
Sum8700118537
Variance59443630.04
MonotonicityNot monotonic
2023-03-02T01:39:10.170429image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1004034
55.0%
8717.99 259
 
< 0.1%
9009.59 253
 
< 0.1%
8457.66 252
 
< 0.1%
9493.69 246
 
< 0.1%
8977.01 239
 
< 0.1%
9510.8 228
 
< 0.1%
9506.32 205
 
< 0.1%
9001.08 202
 
< 0.1%
9051.41 201
 
< 0.1%
Other values (329836) 821006
44.9%
ValueCountFrequency (%)
0 1004034
55.0%
0.01 3
 
< 0.1%
0.02 4
 
< 0.1%
0.03 2
 
< 0.1%
0.04 4
 
< 0.1%
ValueCountFrequency (%)
39616.66 1
< 0.1%
39595.02 1
< 0.1%
39571.49 2
< 0.1%
39562.28 1
< 0.1%
39548.64 2
< 0.1%

total_pymnt
Real number (ℝ)

Distinct1311864
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11947.6193
Minimum0
Maximum63296.87787
Zeros460
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:10.282985image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1132.98
Q14257.05
median9176.395413
Q316944.1
95-th percentile32872.02917
Maximum63296.87787
Range63296.87787
Interquartile range (IQR)12687.05

Descriptive statistics

Standard deviation9992.262928
Coefficient of variation (CV)0.8363392468
Kurtosis1.241867069
Mean11947.6193
Median Absolute Deviation (MAD)5773.884585
Skewness1.243138649
Sum2.182979392 × 1010
Variance99845318.43
MonotonicityNot monotonic
2023-03-02T01:39:10.367788image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 460
 
< 0.1%
1215.49 168
 
< 0.1%
1257.3 156
 
< 0.1%
10838.35484 145
 
< 0.1%
11258.43637 144
 
< 0.1%
1246.16 140
 
< 0.1%
4861.94 139
 
< 0.1%
1824.93 135
 
< 0.1%
13510.12859 133
 
< 0.1%
1234.95 132
 
< 0.1%
Other values (1311854) 1825373
99.9%
ValueCountFrequency (%)
0 460
< 0.1%
10 1
 
< 0.1%
16.58 1
 
< 0.1%
17.58 1
 
< 0.1%
25 2
 
< 0.1%
ValueCountFrequency (%)
63296.87787 1
< 0.1%
62948.99096 1
< 0.1%
62884.79738 1
< 0.1%
62862.50673 1
< 0.1%
62837.63969 1
< 0.1%

total_pymnt_inv
Real number (ℝ)

Distinct1101782
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11943.1753
Minimum0
Maximum63296.88
Zeros460
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:10.462476image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1132.81
Q14255.43
median9172.93
Q316936.39
95-th percentile32859.166
Maximum63296.88
Range63296.88
Interquartile range (IQR)12680.96

Descriptive statistics

Standard deviation9988.62897
Coefficient of variation (CV)0.836346174
Kurtosis1.242264758
Mean11943.1753
Median Absolute Deviation (MAD)5771.75
Skewness1.243243918
Sum2.182167418 × 1010
Variance99772708.7
MonotonicityNot monotonic
2023-03-02T01:39:10.545108image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 460
 
< 0.1%
11784.23 231
 
< 0.1%
11258.44 204
 
< 0.1%
11471.31 196
 
< 0.1%
12128.02 185
 
< 0.1%
11431.12 183
 
< 0.1%
11955.4 180
 
< 0.1%
10838.35 177
 
< 0.1%
13510.13 176
 
< 0.1%
1215.49 165
 
< 0.1%
Other values (1101772) 1824968
99.9%
ValueCountFrequency (%)
0 460
< 0.1%
10 1
 
< 0.1%
16.58 1
 
< 0.1%
17.58 1
 
< 0.1%
25 2
 
< 0.1%
ValueCountFrequency (%)
63296.88 1
< 0.1%
62904.03 1
< 0.1%
62862.51 1
< 0.1%
62839.88 1
< 0.1%
62837.64 1
< 0.1%

total_rec_prncp
Real number (ℝ)

Distinct387036
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9516.824197
Minimum0
Maximum40000
Zeros1244
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:10.635682image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile710.3
Q12933.26
median7000
Q314000
95-th percentile28000
Maximum40000
Range40000
Interquartile range (IQR)11066.74

Descriptive statistics

Standard deviation8423.019227
Coefficient of variation (CV)0.8850661789
Kurtosis1.021946557
Mean9516.824197
Median Absolute Deviation (MAD)4869.24
Skewness1.230519488
Sum1.738842741 × 1010
Variance70947252.9
MonotonicityNot monotonic
2023-03-02T01:39:10.722830image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 65432
 
3.6%
12000 47528
 
2.6%
15000 46428
 
2.5%
20000 45509
 
2.5%
5000 32598
 
1.8%
35000 32143
 
1.8%
8000 32011
 
1.8%
6000 30236
 
1.7%
16000 23434
 
1.3%
25000 21756
 
1.2%
Other values (387026) 1450050
79.4%
ValueCountFrequency (%)
0 1244
0.1%
0.01 1
 
< 0.1%
10.07 1
 
< 0.1%
16.37 1
 
< 0.1%
18.8 1
 
< 0.1%
ValueCountFrequency (%)
40000 4378
0.2%
39999.93 1
 
< 0.1%
39989.79 1
 
< 0.1%
39975 2
 
< 0.1%
39950.61 1
 
< 0.1%

total_rec_int
Real number (ℝ)

Distinct566332
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2342.5655
Minimum0
Maximum28192.5
Zeros1360
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:10.817084image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile180.1
Q1677.68
median1455.26
Q32993.61
95-th percentile7604.774
Maximum28192.5
Range28192.5
Interquartile range (IQR)2315.93

Descriptive statistics

Standard deviation2621.024405
Coefficient of variation (CV)1.118869207
Kurtosis9.414618874
Mean2342.5655
Median Absolute Deviation (MAD)951.41
Skewness2.581361124
Sum4280159989
Variance6869768.929
MonotonicityNot monotonic
2023-03-02T01:39:10.893913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1360
 
0.1%
1784.23 263
 
< 0.1%
1431.12 219
 
< 0.1%
1471.31 213
 
< 0.1%
1258.44 212
 
< 0.1%
1955.4 208
 
< 0.1%
2128.02 201
 
< 0.1%
1510.13 184
 
< 0.1%
838.35 181
 
< 0.1%
192.5 178
 
< 0.1%
Other values (566322) 1823906
99.8%
ValueCountFrequency (%)
0 1360
0.1%
0.01 27
 
< 0.1%
0.06 1
 
< 0.1%
0.07 2
 
< 0.1%
0.12 1
 
< 0.1%
ValueCountFrequency (%)
28192.5 1
< 0.1%
27948.99 1
< 0.1%
27884.8 1
< 0.1%
27862.51 1
< 0.1%
27837.64 1
< 0.1%

total_rec_late_fee
Real number (ℝ)

SKEWED  ZEROS 

Distinct12311
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.097659312
Minimum-9.5 × 10-9
Maximum1188.83
Zeros1774112
Zeros (%)97.1%
Negative6
Negative (%)< 0.1%
Memory size13.9 MiB
2023-03-02T01:39:10.974031image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-9.5 × 10-9
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1188.83
Range1188.83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.556760549
Coefficient of variation (CV)8.706490662
Kurtosis1144.749399
Mean1.097659312
Median Absolute Deviation (MAD)0
Skewness23.6143367
Sum2005560.77
Variance91.33167218
MonotonicityNot monotonic
2023-03-02T01:39:11.058543image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1774112
97.1%
15 11741
 
0.6%
30 2364
 
0.1%
45 777
 
< 0.1%
60 313
 
< 0.1%
75 149
 
< 0.1%
16.61 91
 
< 0.1%
15.94 77
 
< 0.1%
16.37 77
 
< 0.1%
16.49 72
 
< 0.1%
Other values (12301) 37352
 
2.0%
ValueCountFrequency (%)
-9.5 × 10-91
< 0.1%
-3.9 × 10-91
< 0.1%
-2 × 10-91
< 0.1%
-7 × 10-101
< 0.1%
-5 × 10-101
< 0.1%
ValueCountFrequency (%)
1188.83 1
< 0.1%
1098.360001 1
< 0.1%
935.700002 1
< 0.1%
929.8000025 1
< 0.1%
886.8000001 1
< 0.1%

recoveries
Real number (ℝ)

Distinct71974
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.13194569
Minimum0
Maximum39859.55
Zeros1739353
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:11.144144image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum39859.55
Range39859.55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation584.8343092
Coefficient of variation (CV)6.712053823
Kurtosis324.3456323
Mean87.13194569
Median Absolute Deviation (MAD)0
Skewness13.57741136
Sum159200956.3
Variance342031.1692
MonotonicityNot monotonic
2023-03-02T01:39:11.230097image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1739353
95.2%
100 432
 
< 0.1%
50 408
 
< 0.1%
150 349
 
< 0.1%
200 267
 
< 0.1%
25 178
 
< 0.1%
300 164
 
< 0.1%
250 152
 
< 0.1%
75 149
 
< 0.1%
400 115
 
< 0.1%
Other values (71964) 85558
 
4.7%
ValueCountFrequency (%)
0 1739353
95.2%
0.01 3
 
< 0.1%
0.02 7
 
< 0.1%
0.03 8
 
< 0.1%
0.04 15
 
< 0.1%
ValueCountFrequency (%)
39859.55 1
< 0.1%
36578.54 1
< 0.1%
35581.88 1
< 0.1%
34740.4 1
< 0.1%
33457.46 1
< 0.1%

collection_recovery_fee
Real number (ℝ)

Distinct75995
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.70034589
Minimum0
Maximum7174.719
Zeros1741597
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:11.380519image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7174.719
Range7174.719
Interquartile range (IQR)0

Descriptive statistics

Standard deviation102.2060302
Coefficient of variation (CV)6.952627577
Kurtosis342.3097707
Mean14.70034589
Median Absolute Deviation (MAD)0
Skewness14.07778849
Sum26859369.48
Variance10446.07261
MonotonicityNot monotonic
2023-03-02T01:39:11.462738image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1741597
95.3%
18 327
 
< 0.1%
9 302
 
< 0.1%
27 272
 
< 0.1%
36 210
 
< 0.1%
4.5 128
 
< 0.1%
54 119
 
< 0.1%
45 110
 
< 0.1%
13.5 108
 
< 0.1%
72 93
 
< 0.1%
Other values (75985) 83859
 
4.6%
ValueCountFrequency (%)
0 1741597
95.3%
0.0378 1
 
< 0.1%
0.1728 1
 
< 0.1%
0.3082 1
 
< 0.1%
0.3838 1
 
< 0.1%
ValueCountFrequency (%)
7174.719 1
< 0.1%
6584.1372 1
< 0.1%
6404.7384 1
< 0.1%
6022.341 1
< 0.1%
6013.2888 1
< 0.1%

last_pymnt_d
Categorical

Distinct73
Distinct (%)< 0.1%
Missing1177
Missing (%)0.1%
Memory size13.9 MiB
Feb-2019
834672 
Jan-2019
 
37172
Aug-2018
 
32879
Mar-2018
 
31816
Jul-2018
 
30341
Other values (68)
859068 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDec-2018
2nd rowDec-2018
3rd rowDec-2018
4th rowDec-2018
5th rowNov-2018

Common Values

ValueCountFrequency (%)
Feb-2019 834672
45.7%
Jan-2019 37172
 
2.0%
Aug-2018 32879
 
1.8%
Mar-2018 31816
 
1.7%
Jul-2018 30341
 
1.7%
Jun-2018 29143
 
1.6%
Oct-2018 28590
 
1.6%
May-2018 27782
 
1.5%
Jan-2018 27370
 
1.5%
Mar-2017 26879
 
1.5%
Other values (63) 719304
39.4%

last_pymnt_amnt
Real number (ℝ)

Distinct613135
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3552.294077
Minimum0
Maximum42192.05
Zeros1567
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:11.552677image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile104.56
Q1312.63
median612.62
Q34059.5
95-th percentile17334.636
Maximum42192.05
Range42192.05
Interquartile range (IQR)3746.87

Descriptive statistics

Standard deviation6139.071249
Coefficient of variation (CV)1.72819905
Kurtosis6.62909017
Mean3552.294077
Median Absolute Deviation (MAD)409.03
Skewness2.496237708
Sum6490485315
Variance37688195.8
MonotonicityNot monotonic
2023-03-02T01:39:11.631482image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301.15 1702
 
0.1%
361.38 1620
 
0.1%
0 1567
 
0.1%
50 1547
 
0.1%
332.1 1518
 
0.1%
309.74 1353
 
0.1%
320.05 1293
 
0.1%
324.65 1265
 
0.1%
304.72 1231
 
0.1%
326.97 1178
 
0.1%
Other values (613125) 1812851
99.2%
ValueCountFrequency (%)
0 1567
0.1%
0.01 476
 
< 0.1%
0.02 81
 
< 0.1%
0.03 63
 
< 0.1%
0.04 63
 
< 0.1%
ValueCountFrequency (%)
42192.05 1
< 0.1%
42148.53 1
< 0.1%
42005.2 1
< 0.1%
41453.07 1
< 0.1%
41434 1
< 0.1%

next_pymnt_d
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing998994
Missing (%)54.7%
Memory size13.9 MiB
Mar-2019
827719 
Feb-2019
 
343
Apr-2019
 
64
Sep-2018
 
2
Dec-2018
 
1
Other values (2)
 
2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowMar-2019
2nd rowMar-2019
3rd rowMar-2019
4th rowMar-2019
5th rowMar-2019

Common Values

ValueCountFrequency (%)
Mar-2019 827719
45.3%
Feb-2019 343
 
< 0.1%
Apr-2019 64
 
< 0.1%
Sep-2018 2
 
< 0.1%
Dec-2018 1
 
< 0.1%
Aug-2018 1
 
< 0.1%
Feb-2018 1
 
< 0.1%
(Missing) 998994
54.7%

Common Values (Plot)

2023-03-02T01:39:11.718066image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

last_credit_pull_d
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
Feb-2019
1185569 
Jan-2019
 
65729
Jul-2018
 
43476
Dec-2018
 
43253
Oct-2018
 
41242
Other values (70)
447856 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJan-2019
2nd rowFeb-2019
3rd rowNov-2018
4th rowFeb-2019
5th rowFeb-2019

Common Values

ValueCountFrequency (%)
Feb-2019 1185569
64.9%
Jan-2019 65729
 
3.6%
Jul-2018 43476
 
2.4%
Dec-2018 43253
 
2.4%
Oct-2018 41242
 
2.3%
Nov-2018 40129
 
2.2%
Aug-2018 34944
 
1.9%
Sep-2018 29568
 
1.6%
Oct-2016 26140
 
1.4%
May-2018 21326
 
1.2%
Other values (65) 295749
 
16.2%
Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01865444346
Minimum0
Maximum20
Zeros1796059
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:11.787596image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1534840069
Coefficient of variation (CV)8.22774516
Kurtosis650.9348575
Mean0.01865444346
Median Absolute Deviation (MAD)0
Skewness14.34383119
Sum34084
Variance0.02355734036
MonotonicityNot monotonic
2023-03-02T01:39:11.851894image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1796059
98.3%
1 28768
 
1.6%
2 1921
 
0.1%
3 229
 
< 0.1%
4 80
 
< 0.1%
5 30
 
< 0.1%
6 16
 
< 0.1%
7 7
 
< 0.1%
8 4
 
< 0.1%
9 3
 
< 0.1%
Other values (6) 8
 
< 0.1%
ValueCountFrequency (%)
0 1796059
98.3%
1 28768
 
1.6%
2 1921
 
0.1%
3 229
 
< 0.1%
4 80
 
< 0.1%
ValueCountFrequency (%)
20 2
< 0.1%
16 1
< 0.1%
14 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%
Distinct180
Distinct (%)< 0.1%
Missing1346127
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean44.23807999
Minimum0
Maximum226
Zeros320
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:11.932931image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q127
median44
Q362
95-th percentile77
Maximum226
Range226
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.54493224
Coefficient of variation (CV)0.4870223175
Kurtosis-0.5354312887
Mean44.23807999
Median Absolute Deviation (MAD)17
Skewness0.09176194385
Sum21278428
Variance464.1841052
MonotonicityNot monotonic
2023-03-02T01:39:12.012620image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 7614
 
0.4%
44 7596
 
0.4%
43 7594
 
0.4%
46 7547
 
0.4%
42 7543
 
0.4%
48 7468
 
0.4%
40 7437
 
0.4%
41 7386
 
0.4%
38 7357
 
0.4%
47 7326
 
0.4%
Other values (170) 406130
 
22.2%
(Missing) 1346127
73.7%
ValueCountFrequency (%)
0 320
 
< 0.1%
1 1099
0.1%
2 1303
0.1%
3 1651
0.1%
4 2216
0.1%
ValueCountFrequency (%)
226 1
< 0.1%
197 1
< 0.1%
195 1
< 0.1%
192 1
< 0.1%
190 1
< 0.1%

policy_code
Real number (ℝ)

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:12.077177image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum1827125
Variance0
MonotonicityIncreasing
2023-03-02T01:39:12.126870image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 1827125
100.0%
ValueCountFrequency (%)
1 1827125
100.0%
ValueCountFrequency (%)
1 1827125
100.0%

application_type
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
Individual
1724431 
Joint App
 
102694

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndividual
2nd rowIndividual
3rd rowIndividual
4th rowIndividual
5th rowIndividual

Common Values

ValueCountFrequency (%)
Individual 1724431
94.4%
Joint App 102694
 
5.6%

Common Values (Plot)

2023-03-02T01:39:12.191133image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

acc_now_delinq
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004258055689
Minimum0
Maximum14
Zeros1819843
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:12.239925image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07066132672
Coefficient of variation (CV)16.59473992
Kurtosis1356.55112
Mean0.004258055689
Median Absolute Deviation (MAD)0
Skewness23.19662341
Sum7780
Variance0.004993023094
MonotonicityNot monotonic
2023-03-02T01:39:12.294019image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1819843
99.6%
1 6874
 
0.4%
2 351
 
< 0.1%
3 42
 
< 0.1%
4 9
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 1819843
99.6%
1 6874
 
0.4%
2 351
 
< 0.1%
3 42
 
< 0.1%
4 9
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
5 3
 
< 0.1%
4 9
< 0.1%

tot_coll_amt
Real number (ℝ)

SKEWED  ZEROS 

Distinct14535
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.4645998
Minimum0
Maximum6214661
Zeros1548464
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:12.374326image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile789
Maximum6214661
Range6214661
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6332.073815
Coefficient of variation (CV)27.47525572
Kurtosis767039.7715
Mean230.4645998
Median Absolute Deviation (MAD)0
Skewness832.2847402
Sum421087632
Variance40095158.79
MonotonicityNot monotonic
2023-03-02T01:39:12.456421image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1548464
84.7%
50 3242
 
0.2%
100 2733
 
0.1%
75 2038
 
0.1%
150 1589
 
0.1%
200 1541
 
0.1%
60 1464
 
0.1%
70 1200
 
0.1%
80 1160
 
0.1%
55 1030
 
0.1%
Other values (14525) 262664
 
14.4%
ValueCountFrequency (%)
0 1548464
84.7%
2 5
 
< 0.1%
3 2
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
6214661 1
< 0.1%
5252395 1
< 0.1%
848438 1
< 0.1%
496651 1
< 0.1%
380757 1
< 0.1%

tot_cur_bal
Real number (ℝ)

Distinct462642
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143937.8357
Minimum0
Maximum8524709
Zeros774
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:12.543926image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8202
Q129258
median80866
Q3215491
95-th percentile444930.8
Maximum8524709
Range8524709
Interquartile range (IQR)186233

Descriptive statistics

Standard deviation161706.3328
Coefficient of variation (CV)1.123445632
Kurtosis25.29540877
Mean143937.8357
Median Absolute Deviation (MAD)64478
Skewness2.839632189
Sum2.62992418 × 1011
Variance2.614893808 × 1010
MonotonicityNot monotonic
2023-03-02T01:39:12.624579image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 774
 
< 0.1%
20275 36
 
< 0.1%
27257 35
 
< 0.1%
23442 35
 
< 0.1%
16000 34
 
< 0.1%
14743 34
 
< 0.1%
20346 34
 
< 0.1%
14186 34
 
< 0.1%
14482 34
 
< 0.1%
20317 34
 
< 0.1%
Other values (462632) 1826041
99.9%
ValueCountFrequency (%)
0 774
< 0.1%
1 10
 
< 0.1%
2 9
 
< 0.1%
3 18
 
< 0.1%
4 8
 
< 0.1%
ValueCountFrequency (%)
8524709 1
< 0.1%
5752177 1
< 0.1%
5445012 1
< 0.1%
5327039 1
< 0.1%
5172185 1
< 0.1%

open_acc_6m
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing642717
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean0.9230898474
Minimum0
Maximum17
Zeros537778
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:12.693998image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.131212654
Coefficient of variation (CV)1.225463217
Kurtosis4.408710273
Mean0.9230898474
Median Absolute Deviation (MAD)1
Skewness1.677360511
Sum1093315
Variance1.279642069
MonotonicityNot monotonic
2023-03-02T01:39:12.754623image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 537778
29.4%
1 368308
20.2%
2 171862
 
9.4%
3 67713
 
3.7%
4 24689
 
1.4%
5 8679
 
0.5%
6 3217
 
0.2%
7 1288
 
0.1%
8 502
 
< 0.1%
9 208
 
< 0.1%
Other values (8) 164
 
< 0.1%
(Missing) 642717
35.2%
ValueCountFrequency (%)
0 537778
29.4%
1 368308
20.2%
2 171862
 
9.4%
3 67713
 
3.7%
4 24689
 
1.4%
ValueCountFrequency (%)
17 1
 
< 0.1%
16 2
 
< 0.1%
15 1
 
< 0.1%
14 8
< 0.1%
13 5
< 0.1%

open_act_il
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)< 0.1%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean2.776420983
Minimum0
Maximum56
Zeros141255
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:12.897218image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile9
Maximum56
Range56
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.996010724
Coefficient of variation (CV)1.079090938
Kurtosis13.46971867
Mean2.776420983
Median Absolute Deviation (MAD)1
Skewness2.95916403
Sum3288418
Variance8.976080256
MonotonicityNot monotonic
2023-03-02T01:39:12.971637image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 303138
16.6%
2 283536
15.5%
3 177659
 
9.7%
0 141255
 
7.7%
4 95291
 
5.2%
5 52943
 
2.9%
6 32002
 
1.8%
7 22081
 
1.2%
8 16239
 
0.9%
9 12613
 
0.7%
Other values (41) 47652
 
2.6%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 141255
7.7%
1 303138
16.6%
2 283536
15.5%
3 177659
9.7%
4 95291
 
5.2%
ValueCountFrequency (%)
56 1
< 0.1%
55 1
< 0.1%
49 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%

open_il_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean0.6680977601
Minimum0
Maximum25
Zeros649927
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:13.038747image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9182903683
Coefficient of variation (CV)1.374485028
Kurtosis5.079315606
Mean0.6680977601
Median Absolute Deviation (MAD)0
Skewness1.779704356
Sum791301
Variance0.8432572005
MonotonicityNot monotonic
2023-03-02T01:39:13.101941image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 649927
35.6%
1 354234
19.4%
2 127311
 
7.0%
3 36620
 
2.0%
4 11221
 
0.6%
5 3551
 
0.2%
6 1209
 
0.1%
7 180
 
< 0.1%
8 76
 
< 0.1%
9 35
 
< 0.1%
Other values (7) 45
 
< 0.1%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 649927
35.6%
1 354234
19.4%
2 127311
 
7.0%
3 36620
 
2.0%
4 11221
 
0.6%
ValueCountFrequency (%)
25 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 4
< 0.1%
12 5
< 0.1%

open_il_24m
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean1.548885562
Minimum0
Maximum51
Zeros322930
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:13.167782image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum51
Range51
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.567388142
Coefficient of variation (CV)1.011945737
Kurtosis6.415570662
Mean1.548885562
Median Absolute Deviation (MAD)1
Skewness1.758654484
Sum1834514
Variance2.456705588
MonotonicityNot monotonic
2023-03-02T01:39:13.240017image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 375538
20.6%
0 322930
17.7%
2 240924
 
13.2%
3 124547
 
6.8%
4 60770
 
3.3%
5 30006
 
1.6%
6 14594
 
0.8%
7 7297
 
0.4%
8 3730
 
0.2%
9 1856
 
0.1%
Other values (19) 2217
 
0.1%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 322930
17.7%
1 375538
20.6%
2 240924
13.2%
3 124547
 
6.8%
4 60770
 
3.3%
ValueCountFrequency (%)
51 1
< 0.1%
30 1
< 0.1%
28 1
< 0.1%
26 2
< 0.1%
24 1
< 0.1%

mths_since_rcnt_il
Real number (ℝ)

Distinct395
Distinct (%)< 0.1%
Missing679739
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean21.33173317
Minimum0
Maximum511
Zeros550
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:13.319181image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q324
95-th percentile72
Maximum511
Range511
Interquartile range (IQR)17

Descriptive statistics

Standard deviation26.07262745
Coefficient of variation (CV)1.222246089
Kurtosis17.37792686
Mean21.33173317
Median Absolute Deviation (MAD)8
Skewness3.423584463
Sum24475732
Variance679.7819021
MonotonicityNot monotonic
2023-03-02T01:39:13.402352image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 51772
 
2.8%
4 50814
 
2.8%
3 49281
 
2.7%
6 48845
 
2.7%
8 48773
 
2.7%
5 48430
 
2.7%
9 45197
 
2.5%
13 43827
 
2.4%
10 43349
 
2.4%
2 42327
 
2.3%
Other values (385) 674771
36.9%
(Missing) 679739
37.2%
ValueCountFrequency (%)
0 550
 
< 0.1%
1 23121
1.3%
2 42327
2.3%
3 49281
2.7%
4 50814
2.8%
ValueCountFrequency (%)
511 1
< 0.1%
507 1
< 0.1%
505 1
< 0.1%
503 1
< 0.1%
488 1
< 0.1%

total_bal_il
Real number (ℝ)

MISSING  ZEROS 

Distinct154269
Distinct (%)13.0%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean35457.5077
Minimum0
Maximum1837038
Zeros135208
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:13.486042image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18632
median23057
Q346030
95-th percentile113475.6
Maximum1837038
Range1837038
Interquartile range (IQR)37398

Descriptive statistics

Standard deviation44103.07748
Coefficient of variation (CV)1.243829032
Kurtosis31.71587954
Mean35457.5077
Median Absolute Deviation (MAD)17042
Skewness3.796036686
Sum4.199619124 × 1010
Variance1945081444
MonotonicityNot monotonic
2023-03-02T01:39:13.568469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135208
 
7.4%
10000 85
 
< 0.1%
15000 84
 
< 0.1%
5000 70
 
< 0.1%
5500 62
 
< 0.1%
9500 60
 
< 0.1%
2000 57
 
< 0.1%
20000 56
 
< 0.1%
6000 55
 
< 0.1%
7000 54
 
< 0.1%
Other values (154259) 1048618
57.4%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 135208
7.4%
1 50
 
< 0.1%
2 12
 
< 0.1%
3 9
 
< 0.1%
4 8
 
< 0.1%
ValueCountFrequency (%)
1837038 1
< 0.1%
1754743 1
< 0.1%
1547285 1
< 0.1%
1466398 1
< 0.1%
1345993 1
< 0.1%

il_util
Real number (ℝ)

Distinct269
Distinct (%)< 0.1%
Missing815757
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean68.92710566
Minimum0
Maximum1000
Zeros5471
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:13.657329image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q155
median72
Q385
95-th percentile101
Maximum1000
Range1000
Interquartile range (IQR)30

Descriptive statistics

Standard deviation23.75429821
Coefficient of variation (CV)0.3446292715
Kurtosis5.791600148
Mean68.92710566
Median Absolute Deviation (MAD)15
Skewness-0.1955148405
Sum69710669
Variance564.2666836
MonotonicityNot monotonic
2023-03-02T01:39:13.742210image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 19174
 
1.0%
75 18969
 
1.0%
83 18781
 
1.0%
72 18702
 
1.0%
81 18674
 
1.0%
77 18487
 
1.0%
80 18318
 
1.0%
82 18208
 
1.0%
74 18171
 
1.0%
76 18170
 
1.0%
Other values (259) 825714
45.2%
(Missing) 815757
44.6%
ValueCountFrequency (%)
0 5471
0.3%
1 360
 
< 0.1%
2 766
 
< 0.1%
3 1497
 
0.1%
4 957
 
0.1%
ValueCountFrequency (%)
1000 2
< 0.1%
558 1
< 0.1%
464 1
< 0.1%
417 1
< 0.1%
376 1
< 0.1%

open_rv_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean1.27567082
Minimum0
Maximum28
Zeros440234
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:13.817429image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum28
Range28
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.495352662
Coefficient of variation (CV)1.172208879
Kurtosis7.914905505
Mean1.27567082
Median Absolute Deviation (MAD)1
Skewness2.025881996
Sum1510916
Variance2.236079584
MonotonicityNot monotonic
2023-03-02T01:39:13.879349image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 440234
24.1%
1 352411
19.3%
2 200821
 
11.0%
3 99785
 
5.5%
4 46843
 
2.6%
5 22083
 
1.2%
6 10793
 
0.6%
7 5319
 
0.3%
8 2684
 
0.1%
9 1456
 
0.1%
Other values (19) 1980
 
0.1%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 440234
24.1%
1 352411
19.3%
2 200821
11.0%
3 99785
 
5.5%
4 46843
 
2.6%
ValueCountFrequency (%)
28 2
 
< 0.1%
27 1
 
< 0.1%
26 5
< 0.1%
25 1
 
< 0.1%
24 2
 
< 0.1%

open_rv_24m
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean2.718347294
Minimum0
Maximum60
Zeros192876
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:13.956198image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum60
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.574357858
Coefficient of variation (CV)0.9470305226
Kurtosis8.177951057
Mean2.718347294
Median Absolute Deviation (MAD)1
Skewness1.977349232
Sum3219635
Variance6.627318382
MonotonicityNot monotonic
2023-03-02T01:39:14.034204image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 255447
 
14.0%
2 228030
 
12.5%
0 192876
 
10.6%
3 169881
 
9.3%
4 116968
 
6.4%
5 77934
 
4.3%
6 50157
 
2.7%
7 32587
 
1.8%
8 20638
 
1.1%
9 13309
 
0.7%
Other values (39) 26582
 
1.5%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 192876
10.6%
1 255447
14.0%
2 228030
12.5%
3 169881
9.3%
4 116968
6.4%
ValueCountFrequency (%)
60 1
< 0.1%
54 1
< 0.1%
53 1
< 0.1%
50 2
< 0.1%
45 2
< 0.1%

max_bal_bc
Real number (ℝ)

MISSING  ZEROS 

Distinct32890
Distinct (%)2.8%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean5840.986667
Minimum0
Maximum1170668
Zeros30363
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:14.118021image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile347
Q12300
median4439
Q37649
95-th percentile16408.6
Maximum1170668
Range1170668
Interquartile range (IQR)5349

Descriptive statistics

Standard deviation5695.100882
Coefficient of variation (CV)0.9750237772
Kurtosis1893.377701
Mean5840.986667
Median Absolute Deviation (MAD)2478
Skewness13.83300023
Sum6918117177
Variance32434174.06
MonotonicityNot monotonic
2023-03-02T01:39:14.266960image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30363
 
1.7%
8 469
 
< 0.1%
3000 448
 
< 0.1%
2000 431
 
< 0.1%
4000 384
 
< 0.1%
5000 369
 
< 0.1%
2500 332
 
< 0.1%
1900 287
 
< 0.1%
3500 283
 
< 0.1%
1000 281
 
< 0.1%
Other values (32880) 1150762
63.0%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 30363
1.7%
1 141
 
< 0.1%
2 183
 
< 0.1%
3 190
 
< 0.1%
4 176
 
< 0.1%
ValueCountFrequency (%)
1170668 1
< 0.1%
776843 1
< 0.1%
457521 1
< 0.1%
361299 1
< 0.1%
349961 1
< 0.1%

all_util
Real number (ℝ)

Distinct183
Distinct (%)< 0.1%
Missing642907
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean56.80184223
Minimum0
Maximum211
Zeros2382
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:14.355740image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q143
median58
Q371
95-th percentile90
Maximum211
Range211
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.90162126
Coefficient of variation (CV)0.3679743551
Kurtosis-0.09112248335
Mean56.80184223
Median Absolute Deviation (MAD)14
Skewness-0.1135798505
Sum67265764
Variance436.8777715
MonotonicityNot monotonic
2023-03-02T01:39:14.434164image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 22575
 
1.2%
60 22562
 
1.2%
61 22499
 
1.2%
62 22312
 
1.2%
63 22298
 
1.2%
58 22167
 
1.2%
57 22046
 
1.2%
64 21946
 
1.2%
55 21745
 
1.2%
65 21742
 
1.2%
Other values (173) 962326
52.7%
(Missing) 642907
35.2%
ValueCountFrequency (%)
0 2382
0.1%
1 1459
0.1%
2 1338
0.1%
3 1392
0.1%
4 1471
0.1%
ValueCountFrequency (%)
211 1
< 0.1%
198 1
< 0.1%
197 1
< 0.1%
196 1
< 0.1%
188 1
< 0.1%

total_rev_hi_lim
Real number (ℝ)

Distinct29303
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34965.23851
Minimum0
Maximum9999999
Zeros1146
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:14.517586image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6000
Q114800
median25700
Q343700
95-th percentile92300
Maximum9999999
Range9999999
Interquartile range (IQR)28900

Descriptive statistics

Standard deviation37362.00932
Coefficient of variation (CV)1.068547246
Kurtosis8391.149855
Mean34965.23851
Median Absolute Deviation (MAD)13000
Skewness35.97309408
Sum6.388586142 × 1010
Variance1395919740
MonotonicityNot monotonic
2023-03-02T01:39:14.606109image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 5912
 
0.3%
15000 5684
 
0.3%
13000 5615
 
0.3%
14000 5574
 
0.3%
12000 5526
 
0.3%
11000 5509
 
0.3%
17000 5459
 
0.3%
11500 5431
 
0.3%
16000 5396
 
0.3%
12500 5362
 
0.3%
Other values (29293) 1771657
97.0%
ValueCountFrequency (%)
0 1146
0.1%
100 23
 
< 0.1%
200 57
 
< 0.1%
300 289
 
< 0.1%
400 81
 
< 0.1%
ValueCountFrequency (%)
9999999 3
< 0.1%
2175000 1
 
< 0.1%
2059200 1
 
< 0.1%
1875800 1
 
< 0.1%
1827401 1
 
< 0.1%

inq_fi
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing642716
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean1.001482596
Minimum0
Maximum48
Zeros594798
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:14.684341image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum48
Range48
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.474923221
Coefficient of variation (CV)1.472739743
Kurtosis13.76734534
Mean1.001482596
Median Absolute Deviation (MAD)0
Skewness2.674298247
Sum1186165
Variance2.175398508
MonotonicityNot monotonic
2023-03-02T01:39:14.757477image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 594798
32.6%
1 299523
16.4%
2 146393
 
8.0%
3 70447
 
3.9%
4 34582
 
1.9%
5 17747
 
1.0%
6 9094
 
0.5%
7 4984
 
0.3%
8 2803
 
0.2%
9 1590
 
0.1%
Other values (22) 2448
 
0.1%
(Missing) 642716
35.2%
ValueCountFrequency (%)
0 594798
32.6%
1 299523
16.4%
2 146393
 
8.0%
3 70447
 
3.9%
4 34582
 
1.9%
ValueCountFrequency (%)
48 1
 
< 0.1%
38 1
 
< 0.1%
32 1
 
< 0.1%
29 1
 
< 0.1%
28 3
< 0.1%

total_cu_tl
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)< 0.1%
Missing642717
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean1.473334358
Minimum0
Maximum79
Zeros640027
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:14.838192image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum79
Range79
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.664510609
Coefficient of variation (CV)1.808490106
Kurtosis22.35567999
Mean1.473334358
Median Absolute Deviation (MAD)0
Skewness3.538814906
Sum1745029
Variance7.099616786
MonotonicityNot monotonic
2023-03-02T01:39:14.922622image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 640027
35.0%
1 200215
 
11.0%
2 110104
 
6.0%
3 69754
 
3.8%
4 46688
 
2.6%
5 32222
 
1.8%
6 22966
 
1.3%
7 16443
 
0.9%
8 11806
 
0.6%
9 8595
 
0.5%
Other values (51) 25588
 
1.4%
(Missing) 642717
35.2%
ValueCountFrequency (%)
0 640027
35.0%
1 200215
 
11.0%
2 110104
 
6.0%
3 69754
 
3.8%
4 46688
 
2.6%
ValueCountFrequency (%)
79 1
< 0.1%
77 1
< 0.1%
71 1
< 0.1%
68 2
< 0.1%
65 1
< 0.1%

inq_last_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)< 0.1%
Missing642717
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean2.007900149
Minimum0
Maximum67
Zeros344818
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:15.009307image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum67
Range67
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.359298309
Coefficient of variation (CV)1.175007786
Kurtosis11.45961514
Mean2.007900149
Median Absolute Deviation (MAD)1
Skewness2.413967687
Sum2378173
Variance5.566288513
MonotonicityNot monotonic
2023-03-02T01:39:15.089054image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 344818
18.9%
1 289597
15.8%
2 199600
 
10.9%
3 128987
 
7.1%
4 80864
 
4.4%
5 50057
 
2.7%
6 31578
 
1.7%
7 19934
 
1.1%
8 12859
 
0.7%
9 8454
 
0.5%
Other values (38) 17660
 
1.0%
(Missing) 642717
35.2%
ValueCountFrequency (%)
0 344818
18.9%
1 289597
15.8%
2 199600
10.9%
3 128987
 
7.1%
4 80864
 
4.4%
ValueCountFrequency (%)
67 1
< 0.1%
51 1
< 0.1%
49 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%

acc_open_past_24mths
Real number (ℝ)

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.486324143
Minimum0
Maximum64
Zeros84151
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:15.179674image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile10
Maximum64
Range64
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.147584457
Coefficient of variation (CV)0.7015954168
Kurtosis4.386999827
Mean4.486324143
Median Absolute Deviation (MAD)2
Skewness1.403931478
Sum8197075
Variance9.907287915
MonotonicityNot monotonic
2023-03-02T01:39:15.265297image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 275197
15.1%
2 255392
14.0%
4 254063
13.9%
5 212634
11.6%
1 187294
10.3%
6 165421
9.1%
7 122370
6.7%
8 86600
 
4.7%
0 84151
 
4.6%
9 59657
 
3.3%
Other values (47) 124346
6.8%
ValueCountFrequency (%)
0 84151
 
4.6%
1 187294
10.3%
2 255392
14.0%
3 275197
15.1%
4 254063
13.9%
ValueCountFrequency (%)
64 1
 
< 0.1%
61 1
 
< 0.1%
56 1
 
< 0.1%
55 1
 
< 0.1%
54 3
< 0.1%

avg_cur_bal
Real number (ℝ)

Distinct85284
Distinct (%)4.7%
Missing57
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean13695.62774
Minimum0
Maximum958084
Zeros729
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:15.354212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1074
Q13102
median7465
Q319007
95-th percentile43950
Maximum958084
Range958084
Interquartile range (IQR)15905

Descriptive statistics

Standard deviation16611.6563
Coefficient of variation (CV)1.212916751
Kurtosis42.45462091
Mean13695.62774
Median Absolute Deviation (MAD)5480
Skewness3.829668031
Sum2.502284318 × 1010
Variance275947125.1
MonotonicityNot monotonic
2023-03-02T01:39:15.443074image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 729
 
< 0.1%
2442 233
 
< 0.1%
2292 232
 
< 0.1%
2148 227
 
< 0.1%
2286 226
 
< 0.1%
2522 226
 
< 0.1%
2294 225
 
< 0.1%
2287 222
 
< 0.1%
2339 221
 
< 0.1%
2954 221
 
< 0.1%
Other values (85274) 1824306
99.8%
ValueCountFrequency (%)
0 729
< 0.1%
1 56
 
< 0.1%
2 49
 
< 0.1%
3 40
 
< 0.1%
4 25
 
< 0.1%
ValueCountFrequency (%)
958084 1
< 0.1%
752994 1
< 0.1%
710392 1
< 0.1%
646339 1
< 0.1%
620531 1
< 0.1%

bc_open_to_buy
Real number (ℝ)

MISSING  ZEROS 

Distinct88051
Distinct (%)4.9%
Missing20443
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean11673.44436
Minimum0
Maximum711140
Zeros24345
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:15.529658image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile170
Q11791
median5629
Q314599
95-th percentile43647
Maximum711140
Range711140
Interquartile range (IQR)12808

Descriptive statistics

Standard deviation16852.01092
Coefficient of variation (CV)1.443619415
Kurtosis25.91542158
Mean11673.44436
Median Absolute Deviation (MAD)4712
Skewness3.672638784
Sum2.10902018 × 1010
Variance283990272
MonotonicityNot monotonic
2023-03-02T01:39:15.678813image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24345
 
1.3%
500 1581
 
0.1%
2000 1580
 
0.1%
1000 1400
 
0.1%
3000 1288
 
0.1%
2500 1155
 
0.1%
5000 1136
 
0.1%
1500 1078
 
0.1%
4000 1002
 
0.1%
3500 952
 
0.1%
Other values (88041) 1771165
96.9%
(Missing) 20443
 
1.1%
ValueCountFrequency (%)
0 24345
1.3%
1 274
 
< 0.1%
2 287
 
< 0.1%
3 285
 
< 0.1%
4 289
 
< 0.1%
ValueCountFrequency (%)
711140 1
< 0.1%
605996 1
< 0.1%
507259 1
< 0.1%
493101 1
< 0.1%
487611 1
< 0.1%

bc_util
Real number (ℝ)

MISSING  ZEROS 

Distinct1459
Distinct (%)0.1%
Missing21354
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean57.43015471
Minimum0
Maximum339.6
Zeros23267
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:15.768635image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.6
Q134.8
median59.5
Q382.6
95-th percentile97.7
Maximum339.6
Range339.6
Interquartile range (IQR)47.8

Descriptive statistics

Standard deviation28.59107414
Coefficient of variation (CV)0.4978407995
Kurtosis-1.014181426
Mean57.43015471
Median Absolute Deviation (MAD)23.8
Skewness-0.2488005371
Sum103705707.9
Variance817.4495204
MonotonicityNot monotonic
2023-03-02T01:39:15.850478image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23267
 
1.3%
98 4987
 
0.3%
99 4645
 
0.3%
97 4637
 
0.3%
96 4568
 
0.3%
95 4271
 
0.2%
94 4094
 
0.2%
93 3818
 
0.2%
92 3750
 
0.2%
90 3512
 
0.2%
Other values (1449) 1744222
95.5%
(Missing) 21354
 
1.2%
ValueCountFrequency (%)
0 23267
1.3%
0.1 1882
 
0.1%
0.2 1642
 
0.1%
0.3 1375
 
0.1%
0.4 1180
 
0.1%
ValueCountFrequency (%)
339.6 1
< 0.1%
318.2 1
< 0.1%
255.2 1
< 0.1%
252.3 1
< 0.1%
215.7 1
< 0.1%

chargeoff_within_12_mths
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00866060067
Minimum0
Maximum10
Zeros1812911
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:15.924024image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1059726037
Coefficient of variation (CV)12.23617249
Kurtosis594.4600662
Mean0.00866060067
Median Absolute Deviation (MAD)0
Skewness17.96674537
Sum15824
Variance0.01123019273
MonotonicityNot monotonic
2023-03-02T01:39:15.984156image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1812911
99.2%
1 13035
 
0.7%
2 934
 
0.1%
3 150
 
< 0.1%
4 54
 
< 0.1%
5 17
 
< 0.1%
6 12
 
< 0.1%
7 5
 
< 0.1%
9 5
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 1812911
99.2%
1 13035
 
0.7%
2 934
 
0.1%
3 150
 
< 0.1%
4 54
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 5
< 0.1%
8 1
 
< 0.1%
7 5
< 0.1%
6 12
< 0.1%

delinq_amnt
Real number (ℝ)

SKEWED  ZEROS 

Distinct2278
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.2313799
Minimum0
Maximum185408
Zeros1821205
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:16.060885image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum185408
Range185408
Interquartile range (IQR)0

Descriptive statistics

Standard deviation706.5182787
Coefficient of variation (CV)57.7627614
Kurtosis11667.62515
Mean12.2313799
Median Absolute Deviation (MAD)0
Skewness93.79664799
Sum22348260
Variance499168.0781
MonotonicityNot monotonic
2023-03-02T01:39:16.143475image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1821205
99.7%
25 101
 
< 0.1%
65000 85
 
< 0.1%
30 76
 
< 0.1%
54 59
 
< 0.1%
53 58
 
< 0.1%
75 55
 
< 0.1%
50 53
 
< 0.1%
56 50
 
< 0.1%
57 47
 
< 0.1%
Other values (2268) 5336
 
0.3%
ValueCountFrequency (%)
0 1821205
99.7%
1 8
 
< 0.1%
2 8
 
< 0.1%
3 11
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
185408 1
< 0.1%
159177 1
< 0.1%
138474 1
< 0.1%
130778 1
< 0.1%
110626 1
< 0.1%

mo_sin_old_il_acct
Real number (ℝ)

Distinct556
Distinct (%)< 0.1%
Missing56895
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean125.9513114
Minimum0
Maximum999
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:16.231069image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q196
median130
Q3154
95-th percentile213
Maximum999
Range999
Interquartile range (IQR)58

Descriptive statistics

Standard deviation53.31117233
Coefficient of variation (CV)0.4232681005
Kurtosis1.85967641
Mean125.9513114
Median Absolute Deviation (MAD)27
Skewness0.3478758941
Sum222962790
Variance2842.081095
MonotonicityNot monotonic
2023-03-02T01:39:16.313454image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 20845
 
1.1%
129 20685
 
1.1%
132 20665
 
1.1%
128 20654
 
1.1%
133 20640
 
1.1%
126 20603
 
1.1%
127 20598
 
1.1%
134 20588
 
1.1%
125 20585
 
1.1%
131 20410
 
1.1%
Other values (546) 1563957
85.6%
(Missing) 56895
 
3.1%
ValueCountFrequency (%)
0 13
 
< 0.1%
1 419
 
< 0.1%
2 785
< 0.1%
3 1132
0.1%
4 1311
0.1%
ValueCountFrequency (%)
999 2
< 0.1%
848 1
< 0.1%
827 1
< 0.1%
822 1
< 0.1%
808 1
< 0.1%

mo_sin_old_rev_tl_op
Real number (ℝ)

Distinct777
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.1875854
Minimum1
Maximum901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:16.397423image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile49
Q1117
median164
Q3233
95-th percentile369
Maximum901
Range900
Interquartile range (IQR)116

Descriptive statistics

Standard deviation97.24242492
Coefficient of variation (CV)0.5337489088
Kurtosis1.31070842
Mean182.1875854
Median Absolute Deviation (MAD)56
Skewness0.9959687674
Sum332879492
Variance9456.089204
MonotonicityNot monotonic
2023-03-02T01:39:16.477684image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 10380
 
0.6%
136 10352
 
0.6%
131 10269
 
0.6%
134 10249
 
0.6%
135 10235
 
0.6%
130 10219
 
0.6%
133 10179
 
0.6%
139 10083
 
0.6%
140 10076
 
0.6%
137 10074
 
0.6%
Other values (767) 1725009
94.4%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 4
 
< 0.1%
3 11
 
< 0.1%
4 13
 
< 0.1%
5 38
< 0.1%
ValueCountFrequency (%)
901 1
< 0.1%
852 1
< 0.1%
851 1
< 0.1%
836 1
< 0.1%
826 1
< 0.1%

mo_sin_rcnt_rev_tl_op
Real number (ℝ)

Distinct326
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.16739687
Minimum0
Maximum547
Zeros27549
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:16.560026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q317
95-th percentile46
Maximum547
Range547
Interquartile range (IQR)13

Descriptive statistics

Standard deviation17.67543463
Coefficient of variation (CV)1.247613432
Kurtosis21.45826044
Mean14.16739687
Median Absolute Deviation (MAD)5
Skewness3.56517201
Sum25885605
Variance312.4209894
MonotonicityNot monotonic
2023-03-02T01:39:16.636356image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 138236
 
7.6%
3 133804
 
7.3%
4 122698
 
6.7%
1 112757
 
6.2%
5 110563
 
6.1%
6 98069
 
5.4%
7 89812
 
4.9%
8 80253
 
4.4%
9 71240
 
3.9%
10 65020
 
3.6%
Other values (316) 804673
44.0%
ValueCountFrequency (%)
0 27549
 
1.5%
1 112757
6.2%
2 138236
7.6%
3 133804
7.3%
4 122698
6.7%
ValueCountFrequency (%)
547 1
< 0.1%
438 1
< 0.1%
406 1
< 0.1%
404 1
< 0.1%
396 1
< 0.1%

mo_sin_rcnt_tl
Real number (ℝ)

Distinct225
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.366697407
Minimum0
Maximum368
Zeros28524
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:16.719742image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile24
Maximum368
Range368
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.24240423
Coefficient of variation (CV)1.10466577
Kurtosis43.58810857
Mean8.366697407
Median Absolute Deviation (MAD)3
Skewness4.521827807
Sum15287002
Variance85.42203594
MonotonicityNot monotonic
2023-03-02T01:39:16.801014image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 194202
 
10.6%
3 189138
 
10.4%
4 168893
 
9.2%
1 148166
 
8.1%
5 146225
 
8.0%
6 126865
 
6.9%
7 113200
 
6.2%
8 95968
 
5.3%
9 80746
 
4.4%
10 69153
 
3.8%
Other values (215) 494569
27.1%
ValueCountFrequency (%)
0 28524
 
1.6%
1 148166
8.1%
2 194202
10.6%
3 189138
10.4%
4 168893
9.2%
ValueCountFrequency (%)
368 1
< 0.1%
353 1
< 0.1%
309 1
< 0.1%
289 1
< 0.1%
285 1
< 0.1%

mort_acc
Real number (ℝ)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.56832127
Minimum0
Maximum94
Zeros759908
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:16.952249image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum94
Range94
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.90563367
Coefficient of variation (CV)1.215078637
Kurtosis11.36708498
Mean1.56832127
Median Absolute Deviation (MAD)1
Skewness1.795261478
Sum2865519
Variance3.631439685
MonotonicityNot monotonic
2023-03-02T01:39:17.029745image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 759908
41.6%
1 325794
17.8%
2 272116
 
14.9%
3 193771
 
10.6%
4 125489
 
6.9%
5 72227
 
4.0%
6 38892
 
2.1%
7 19199
 
1.1%
8 9502
 
0.5%
9 4696
 
0.3%
Other values (34) 5531
 
0.3%
ValueCountFrequency (%)
0 759908
41.6%
1 325794
17.8%
2 272116
 
14.9%
3 193771
 
10.6%
4 125489
 
6.9%
ValueCountFrequency (%)
94 1
< 0.1%
87 1
< 0.1%
61 1
< 0.1%
51 1
< 0.1%
47 1
< 0.1%

mths_since_recent_bc
Real number (ℝ)

Distinct533
Distinct (%)< 0.1%
Missing19238
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean25.07679739
Minimum0
Maximum661
Zeros10906
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:17.111624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median14
Q330
95-th percentile90
Maximum661
Range661
Interquartile range (IQR)24

Descriptive statistics

Standard deviation32.56258218
Coefficient of variation (CV)1.298514387
Kurtosis20.05359375
Mean25.07679739
Median Absolute Deviation (MAD)10
Skewness3.471486578
Sum45336016
Variance1060.321758
MonotonicityNot monotonic
2023-03-02T01:39:17.189768image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 86073
 
4.7%
2 83681
 
4.6%
4 82729
 
4.5%
5 78085
 
4.3%
6 72492
 
4.0%
7 68627
 
3.8%
8 64345
 
3.5%
9 59714
 
3.3%
1 56677
 
3.1%
10 56617
 
3.1%
Other values (523) 1098847
60.1%
ValueCountFrequency (%)
0 10906
 
0.6%
1 56677
3.1%
2 83681
4.6%
3 86073
4.7%
4 82729
4.5%
ValueCountFrequency (%)
661 1
< 0.1%
656 1
< 0.1%
640 1
< 0.1%
639 1
< 0.1%
615 1
< 0.1%

mths_since_recent_bc_dlq
Real number (ℝ)

Distinct174
Distinct (%)< 0.1%
Missing1396890
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean39.32475275
Minimum0
Maximum195
Zeros673
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:17.276280image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q121
median37
Q357
95-th percentile77
Maximum195
Range195
Interquartile range (IQR)36

Descriptive statistics

Standard deviation22.62552826
Coefficient of variation (CV)0.5753508078
Kurtosis-0.61072066
Mean39.32475275
Median Absolute Deviation (MAD)18
Skewness0.3368570916
Sum16918885
Variance511.9145292
MonotonicityNot monotonic
2023-03-02T01:39:17.361567image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 6646
 
0.4%
26 6635
 
0.4%
25 6597
 
0.4%
35 6583
 
0.4%
30 6578
 
0.4%
43 6577
 
0.4%
19 6574
 
0.4%
22 6547
 
0.4%
45 6533
 
0.4%
32 6529
 
0.4%
Other values (164) 364436
 
19.9%
(Missing) 1396890
76.5%
ValueCountFrequency (%)
0 673
 
< 0.1%
1 2154
0.1%
2 2478
0.1%
3 3462
0.2%
4 4020
0.2%
ValueCountFrequency (%)
195 1
< 0.1%
194 1
< 0.1%
190 1
< 0.1%
189 1
< 0.1%
188 1
< 0.1%

mths_since_recent_inq
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing206528
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean7.09087577
Minimum0
Maximum25
Zeros135908
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:17.440587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q311
95-th percentile19
Maximum25
Range25
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.979832126
Coefficient of variation (CV)0.8433136216
Kurtosis-0.06799542129
Mean7.09087577
Median Absolute Deviation (MAD)4
Skewness0.8761377912
Sum11491452
Variance35.75839225
MonotonicityNot monotonic
2023-03-02T01:39:17.511929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 172452
 
9.4%
2 141718
 
7.8%
0 135908
 
7.4%
3 129187
 
7.1%
4 118648
 
6.5%
5 105729
 
5.8%
6 95067
 
5.2%
7 90144
 
4.9%
8 80013
 
4.4%
9 70708
 
3.9%
Other values (16) 481023
26.3%
(Missing) 206528
11.3%
ValueCountFrequency (%)
0 135908
7.4%
1 172452
9.4%
2 141718
7.8%
3 129187
7.1%
4 118648
6.5%
ValueCountFrequency (%)
25 27
 
< 0.1%
24 7817
0.4%
23 15530
0.8%
22 16870
0.9%
21 18470
1.0%
Distinct175
Distinct (%)< 0.1%
Missing1216894
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean35.80411844
Minimum0
Maximum197
Zeros1113
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:17.593558image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median33
Q351
95-th percentile76
Maximum197
Range197
Interquartile range (IQR)34

Descriptive statistics

Standard deviation22.31587875
Coefficient of variation (CV)0.6232768665
Kurtosis-0.4793363499
Mean35.80411844
Median Absolute Deviation (MAD)17
Skewness0.4969502577
Sum21848783
Variance497.9984443
MonotonicityNot monotonic
2023-03-02T01:39:17.678524image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 11068
 
0.6%
13 10862
 
0.6%
15 10498
 
0.6%
14 10468
 
0.6%
19 10467
 
0.6%
18 10300
 
0.6%
16 10268
 
0.6%
9 10229
 
0.6%
21 10181
 
0.6%
22 10131
 
0.6%
Other values (165) 505759
27.7%
(Missing) 1216894
66.6%
ValueCountFrequency (%)
0 1113
 
0.1%
1 3961
0.2%
2 4759
0.3%
3 6490
0.4%
4 7536
0.4%
ValueCountFrequency (%)
197 1
< 0.1%
190 1
< 0.1%
188 1
< 0.1%
183 1
< 0.1%
178 1
< 0.1%

num_accts_ever_120_pd
Real number (ℝ)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4993582815
Minimum0
Maximum58
Zeros1409969
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:17.766212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.353825132
Coefficient of variation (CV)2.711129828
Kurtosis52.65693649
Mean0.4993582815
Median Absolute Deviation (MAD)0
Skewness5.448595546
Sum912390
Variance1.832842488
MonotonicityNot monotonic
2023-03-02T01:39:17.843052image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 1409969
77.2%
1 223489
 
12.2%
2 87938
 
4.8%
3 40317
 
2.2%
4 23791
 
1.3%
5 14252
 
0.8%
6 9220
 
0.5%
7 5853
 
0.3%
8 3869
 
0.2%
9 2527
 
0.1%
Other values (34) 5900
 
0.3%
ValueCountFrequency (%)
0 1409969
77.2%
1 223489
 
12.2%
2 87938
 
4.8%
3 40317
 
2.2%
4 23791
 
1.3%
ValueCountFrequency (%)
58 1
< 0.1%
51 1
< 0.1%
45 1
< 0.1%
42 1
< 0.1%
39 2
< 0.1%

num_actv_bc_tl
Real number (ℝ)

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.667674078
Minimum0
Maximum50
Zeros41797
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:17.923611image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum50
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.322610059
Coefficient of variation (CV)0.6332651183
Kurtosis4.728333207
Mean3.667674078
Median Absolute Deviation (MAD)1
Skewness1.484620445
Sum6701299
Variance5.394517486
MonotonicityNot monotonic
2023-03-02T01:39:18.000711image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3 383096
21.0%
2 371263
20.3%
4 297330
16.3%
1 215413
11.8%
5 199655
10.9%
6 126392
 
6.9%
7 75918
 
4.2%
8 45616
 
2.5%
0 41797
 
2.3%
9 27451
 
1.5%
Other values (30) 43194
 
2.4%
ValueCountFrequency (%)
0 41797
 
2.3%
1 215413
11.8%
2 371263
20.3%
3 383096
21.0%
4 297330
16.3%
ValueCountFrequency (%)
50 1
< 0.1%
48 2
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%

num_actv_rev_tl
Real number (ℝ)

Distinct55
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.603545461
Minimum0
Maximum72
Zeros9621
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:18.081868image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum72
Range72
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.373372369
Coefficient of variation (CV)0.6020067816
Kurtosis5.069108345
Mean5.603545461
Median Absolute Deviation (MAD)2
Skewness1.5827864
Sum10238378
Variance11.37964114
MonotonicityNot monotonic
2023-03-02T01:39:18.162818image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 279222
15.3%
3 259537
14.2%
5 253308
13.9%
6 206407
11.3%
2 179950
9.8%
7 158941
8.7%
8 116803
6.4%
9 84591
 
4.6%
1 71897
 
3.9%
10 59630
 
3.3%
Other values (45) 156839
8.6%
ValueCountFrequency (%)
0 9621
 
0.5%
1 71897
 
3.9%
2 179950
9.8%
3 259537
14.2%
4 279222
15.3%
ValueCountFrequency (%)
72 1
 
< 0.1%
60 1
 
< 0.1%
59 3
< 0.1%
57 2
< 0.1%
54 1
 
< 0.1%

num_bc_sats
Real number (ℝ)

Distinct58
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.77402805
Minimum0
Maximum71
Zeros19544
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:18.320182image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile10
Maximum71
Range71
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.043577252
Coefficient of variation (CV)0.6375281462
Kurtosis6.807570507
Mean4.77402805
Median Absolute Deviation (MAD)2
Skewness1.755660285
Sum8722746
Variance9.26336249
MonotonicityNot monotonic
2023-03-02T01:39:18.403917image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 316253
17.3%
4 298252
16.3%
2 253784
13.9%
5 239653
13.1%
6 178096
9.7%
7 125046
 
6.8%
1 123607
 
6.8%
8 85971
 
4.7%
9 58536
 
3.2%
10 39376
 
2.2%
Other values (48) 108551
 
5.9%
ValueCountFrequency (%)
0 19544
 
1.1%
1 123607
 
6.8%
2 253784
13.9%
3 316253
17.3%
4 298252
16.3%
ValueCountFrequency (%)
71 1
< 0.1%
69 1
< 0.1%
64 1
< 0.1%
61 1
< 0.1%
59 1
< 0.1%

num_bc_tl
Real number (ℝ)

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.707460628
Minimum0
Maximum86
Zeros4680
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:18.493866image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q310
95-th percentile17
Maximum86
Range86
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.692998019
Coefficient of variation (CV)0.6088903006
Kurtosis3.9625695
Mean7.707460628
Median Absolute Deviation (MAD)3
Skewness1.433500122
Sum14082494
Variance22.0242304
MonotonicityNot monotonic
2023-03-02T01:39:18.574856image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 193465
10.6%
4 186490
10.2%
6 186466
10.2%
7 170356
9.3%
3 153775
8.4%
8 150417
8.2%
9 126890
 
6.9%
10 105110
 
5.8%
2 101068
 
5.5%
11 85811
 
4.7%
Other values (65) 367277
20.1%
ValueCountFrequency (%)
0 4680
 
0.3%
1 40226
 
2.2%
2 101068
5.5%
3 153775
8.4%
4 186490
10.2%
ValueCountFrequency (%)
86 1
< 0.1%
85 1
< 0.1%
82 1
< 0.1%
79 1
< 0.1%
77 1
< 0.1%

num_il_tl
Real number (ℝ)

Distinct116
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.411606759
Minimum0
Maximum150
Zeros57013
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:18.658413image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile23
Maximum150
Range150
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.35121012
Coefficient of variation (CV)0.873936494
Kurtosis7.734557917
Mean8.411606759
Median Absolute Deviation (MAD)3
Skewness2.099149146
Sum15369057
Variance54.04029024
MonotonicityNot monotonic
2023-03-02T01:39:18.738968image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 159045
 
8.7%
3 158627
 
8.7%
5 150576
 
8.2%
2 144645
 
7.9%
6 138159
 
7.6%
7 123545
 
6.8%
1 111106
 
6.1%
8 107734
 
5.9%
9 93133
 
5.1%
10 80712
 
4.4%
Other values (106) 559843
30.6%
ValueCountFrequency (%)
0 57013
 
3.1%
1 111106
6.1%
2 144645
7.9%
3 158627
8.7%
4 159045
8.7%
ValueCountFrequency (%)
150 1
< 0.1%
138 1
< 0.1%
132 1
< 0.1%
131 1
< 0.1%
130 1
< 0.1%

num_op_rev_tl
Real number (ℝ)

Distinct80
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.233844428
Minimum0
Maximum91
Zeros931
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:18.824900image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile17
Maximum91
Range91
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.688064283
Coefficient of variation (CV)0.5693651762
Kurtosis4.801383561
Mean8.233844428
Median Absolute Deviation (MAD)3
Skewness1.535342315
Sum15044263
Variance21.97794672
MonotonicityNot monotonic
2023-03-02T01:39:18.903804image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 197767
10.8%
5 193417
10.6%
7 185485
10.2%
4 169453
9.3%
8 165087
9.0%
9 141096
 
7.7%
3 122438
 
6.7%
10 117872
 
6.5%
11 95346
 
5.2%
12 76640
 
4.2%
Other values (70) 362524
19.8%
ValueCountFrequency (%)
0 931
 
0.1%
1 15627
 
0.9%
2 65536
 
3.6%
3 122438
6.7%
4 169453
9.3%
ValueCountFrequency (%)
91 3
< 0.1%
86 1
 
< 0.1%
81 1
 
< 0.1%
79 1
 
< 0.1%
77 1
 
< 0.1%

num_rev_accts
Real number (ℝ)

Distinct114
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean13.98086994
Minimum2
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:18.984214image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q18
median12
Q318
95-th percentile29
Maximum151
Range149
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.038425865
Coefficient of variation (CV)0.574958919
Kurtosis3.475631329
Mean13.98086994
Median Absolute Deviation (MAD)5
Skewness1.373476476
Sum25544783
Variance64.61629039
MonotonicityNot monotonic
2023-03-02T01:39:19.065628image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 110993
 
6.1%
9 110233
 
6.0%
8 108340
 
5.9%
11 107862
 
5.9%
12 103057
 
5.6%
7 102113
 
5.6%
13 97035
 
5.3%
6 92070
 
5.0%
14 89570
 
4.9%
15 82776
 
4.5%
Other values (104) 823075
45.0%
ValueCountFrequency (%)
2 17830
 
1.0%
3 37231
2.0%
4 58377
3.2%
5 76923
4.2%
6 92070
5.0%
ValueCountFrequency (%)
151 1
< 0.1%
143 1
< 0.1%
127 2
< 0.1%
119 1
< 0.1%
118 1
< 0.1%

num_rev_tl_bal_gt_0
Real number (ℝ)

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.553054662
Minimum0
Maximum65
Zeros9462
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:19.154609image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum65
Range65
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.284532137
Coefficient of variation (CV)0.5914820467
Kurtosis4.233935537
Mean5.553054662
Median Absolute Deviation (MAD)2
Skewness1.47884568
Sum10146125
Variance10.78815136
MonotonicityNot monotonic
2023-03-02T01:39:19.234393image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 281192
15.4%
3 261258
14.3%
5 255413
14.0%
6 207810
11.4%
2 180607
9.9%
7 159698
8.7%
8 116876
6.4%
9 84328
 
4.6%
1 71707
 
3.9%
10 59003
 
3.2%
Other values (40) 149233
8.2%
ValueCountFrequency (%)
0 9462
 
0.5%
1 71707
 
3.9%
2 180607
9.9%
3 261258
14.3%
4 281192
15.4%
ValueCountFrequency (%)
65 1
 
< 0.1%
59 2
< 0.1%
55 1
 
< 0.1%
47 1
 
< 0.1%
45 3
< 0.1%

num_sats
Real number (ℝ)

Distinct89
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.62471807
Minimum0
Maximum101
Zeros48
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:19.321276image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q314
95-th percentile22
Maximum101
Range101
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.655775324
Coefficient of variation (CV)0.4865301068
Kurtosis3.412944852
Mean11.62471807
Median Absolute Deviation (MAD)3
Skewness1.315175232
Sum21239813
Variance31.98779451
MonotonicityNot monotonic
2023-03-02T01:39:19.417074image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 158062
 
8.7%
10 153081
 
8.4%
8 152691
 
8.4%
11 141187
 
7.7%
7 139796
 
7.7%
12 126632
 
6.9%
6 117708
 
6.4%
13 110693
 
6.1%
14 95587
 
5.2%
5 87842
 
4.8%
Other values (79) 543846
29.8%
ValueCountFrequency (%)
0 48
 
< 0.1%
1 1382
 
0.1%
2 8529
 
0.5%
3 25934
1.4%
4 54966
3.0%
ValueCountFrequency (%)
101 1
< 0.1%
97 1
< 0.1%
94 1
< 0.1%
93 1
< 0.1%
91 1
< 0.1%

num_tl_120dpd_2m
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing68149
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean0.0006355970747
Minimum0
Maximum7
Zeros1757916
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:19.486504image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02696836191
Coefficient of variation (CV)42.42996543
Kurtosis5043.411106
Mean0.0006355970747
Median Absolute Deviation (MAD)0
Skewness54.07373823
Sum1118
Variance0.0007272925439
MonotonicityNot monotonic
2023-03-02T01:39:19.541441image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1757916
96.2%
1 1014
 
0.1%
2 39
 
< 0.1%
3 5
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 68149
 
3.7%
ValueCountFrequency (%)
0 1757916
96.2%
1 1014
 
0.1%
2 39
 
< 0.1%
3 5
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
4 1
 
< 0.1%
3 5
 
< 0.1%
2 39
 
< 0.1%
1 1014
0.1%

num_tl_30dpd
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00279345967
Minimum0
Maximum4
Zeros1822304
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:19.603817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05608731222
Coefficient of variation (CV)20.07808196
Kurtosis644.2847659
Mean0.00279345967
Median Absolute Deviation (MAD)0
Skewness22.79268121
Sum5104
Variance0.003145786592
MonotonicityNot monotonic
2023-03-02T01:39:19.729484image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 1822304
99.7%
1 4577
 
0.3%
2 212
 
< 0.1%
3 25
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
0 1822304
99.7%
1 4577
 
0.3%
2 212
 
< 0.1%
3 25
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
4 7
 
< 0.1%
3 25
 
< 0.1%
2 212
 
< 0.1%
1 4577
 
0.3%
0 1822304
99.7%

num_tl_90g_dpd_24m
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08219853595
Minimum0
Maximum58
Zeros1730369
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:19.800615image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4928441021
Coefficient of variation (CV)5.995777131
Kurtosis475.9262422
Mean0.08219853595
Median Absolute Deviation (MAD)0
Skewness15.04198296
Sum150187
Variance0.242895309
MonotonicityNot monotonic
2023-03-02T01:39:19.871391image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 1730369
94.7%
1 72912
 
4.0%
2 13897
 
0.8%
3 3849
 
0.2%
4 2172
 
0.1%
5 1175
 
0.1%
6 868
 
< 0.1%
7 513
 
< 0.1%
8 385
 
< 0.1%
9 293
 
< 0.1%
Other values (23) 692
 
< 0.1%
ValueCountFrequency (%)
0 1730369
94.7%
1 72912
 
4.0%
2 13897
 
0.8%
3 3849
 
0.2%
4 2172
 
0.1%
ValueCountFrequency (%)
58 1
 
< 0.1%
42 1
 
< 0.1%
39 1
 
< 0.1%
35 1
 
< 0.1%
30 3
< 0.1%

num_tl_op_past_12m
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.055301635
Minimum0
Maximum31
Zeros352610
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:19.948486image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum31
Range31
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.820151799
Coefficient of variation (CV)0.8855886495
Kurtosis4.703645049
Mean2.055301635
Median Absolute Deviation (MAD)1
Skewness1.506263942
Sum3755293
Variance3.312952573
MonotonicityNot monotonic
2023-03-02T01:39:20.016064image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 469971
25.7%
2 402720
22.0%
0 352610
19.3%
3 277307
15.2%
4 160154
 
8.8%
5 79870
 
4.4%
6 39654
 
2.2%
7 20988
 
1.1%
8 10556
 
0.6%
9 5762
 
0.3%
Other values (22) 7533
 
0.4%
ValueCountFrequency (%)
0 352610
19.3%
1 469971
25.7%
2 402720
22.0%
3 277307
15.2%
4 160154
 
8.8%
ValueCountFrequency (%)
31 1
< 0.1%
30 2
< 0.1%
29 1
< 0.1%
28 2
< 0.1%
27 1
< 0.1%

pct_tl_nvr_dlq
Real number (ℝ)

Distinct673
Distinct (%)< 0.1%
Missing135
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean94.13426833
Minimum0
Maximum100
Zeros12
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:20.098033image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75
Q191.3
median100
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation9.035452078
Coefficient of variation (CV)0.09598472733
Kurtosis6.864416823
Mean94.13426833
Median Absolute Deviation (MAD)0
Skewness-2.282121678
Sum171982366.9
Variance81.63939425
MonotonicityNot monotonic
2023-03-02T01:39:20.180542image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 926413
50.7%
90 24100
 
1.3%
95 22190
 
1.2%
91.7 19600
 
1.1%
90.9 19477
 
1.1%
92.3 19205
 
1.1%
88.9 19049
 
1.0%
96 18890
 
1.0%
87.5 18683
 
1.0%
92.9 18530
 
1.0%
Other values (663) 720853
39.5%
ValueCountFrequency (%)
0 12
< 0.1%
5.9 1
 
< 0.1%
6.7 1
 
< 0.1%
7.1 2
 
< 0.1%
7.7 2
 
< 0.1%
ValueCountFrequency (%)
100 926413
50.7%
99.4 1
 
< 0.1%
99.3 1
 
< 0.1%
99.2 8
 
< 0.1%
99.1 13
 
< 0.1%

percent_bc_gt_75
Real number (ℝ)

MISSING  ZEROS 

Distinct272
Distinct (%)< 0.1%
Missing20805
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean41.8110995
Minimum0
Maximum100
Zeros506169
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:20.264368image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33.3
Q366.7
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)66.7

Descriptive statistics

Standard deviation36.17847802
Coefficient of variation (CV)0.8652840622
Kurtosis-1.238280621
Mean41.8110995
Median Absolute Deviation (MAD)33.3
Skewness0.3352143677
Sum75524225.24
Variance1308.882272
MonotonicityNot monotonic
2023-03-02T01:39:20.347774image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 506169
27.7%
100 302290
16.5%
50 190746
 
10.4%
33.3 122084
 
6.7%
66.7 109703
 
6.0%
25 81568
 
4.5%
75 61529
 
3.4%
20 54155
 
3.0%
40 45616
 
2.5%
60 38750
 
2.1%
Other values (262) 293710
16.1%
ValueCountFrequency (%)
0 506169
27.7%
0.14 1
 
< 0.1%
0.17 1
 
< 0.1%
0.2 6
 
< 0.1%
0.25 16
 
< 0.1%
ValueCountFrequency (%)
100 302290
16.5%
95.8 1
 
< 0.1%
95.2 2
 
< 0.1%
95 1
 
< 0.1%
94.7 6
 
< 0.1%

pub_rec_bankruptcies
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1307677362
Minimum0
Maximum12
Zeros1602654
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:20.414324image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3674525485
Coefficient of variation (CV)2.809963369
Kurtosis17.90064282
Mean0.1307677362
Median Absolute Deviation (MAD)0
Skewness3.312733718
Sum238929
Variance0.1350213754
MonotonicityNot monotonic
2023-03-02T01:39:20.477774image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1602654
87.7%
1 213480
 
11.7%
2 8556
 
0.5%
3 1754
 
0.1%
4 450
 
< 0.1%
5 155
 
< 0.1%
6 50
 
< 0.1%
7 17
 
< 0.1%
8 5
 
< 0.1%
9 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 1602654
87.7%
1 213480
 
11.7%
2 8556
 
0.5%
3 1754
 
0.1%
4 450
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
9 2
 
< 0.1%
8 5
 
< 0.1%
7 17
< 0.1%

tax_liens
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04798084422
Minimum0
Maximum61
Zeros1773569
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:20.551798image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum61
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3757081691
Coefficient of variation (CV)7.830378459
Kurtosis2106.046748
Mean0.04798084422
Median Absolute Deviation (MAD)0
Skewness25.83376408
Sum87667
Variance0.1411566283
MonotonicityNot monotonic
2023-03-02T01:39:20.626796image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 1773569
97.1%
1 36084
 
2.0%
2 10145
 
0.6%
3 3677
 
0.2%
4 1665
 
0.1%
5 866
 
< 0.1%
6 471
 
< 0.1%
7 218
 
< 0.1%
8 143
 
< 0.1%
9 89
 
< 0.1%
Other values (29) 198
 
< 0.1%
ValueCountFrequency (%)
0 1773569
97.1%
1 36084
 
2.0%
2 10145
 
0.6%
3 3677
 
0.2%
4 1665
 
0.1%
ValueCountFrequency (%)
61 2
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
48 1
< 0.1%
46 1
< 0.1%

tot_hi_cred_lim
Real number (ℝ)

Distinct501311
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180243.6652
Minimum0
Maximum9999999
Zeros57
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:20.715533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19000
Q151250
median116511
Q3260728
95-th percentile514949.8
Maximum9999999
Range9999999
Interquartile range (IQR)209478

Descriptive statistics

Standard deviation182876.6755
Coefficient of variation (CV)1.01460806
Kurtosis79.46438821
Mean180243.6652
Median Absolute Deviation (MAD)80666
Skewness3.739302574
Sum3.293277068 × 1011
Variance3.344387845 × 1010
MonotonicityNot monotonic
2023-03-02T01:39:20.802443image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 609
 
< 0.1%
12500 603
 
< 0.1%
13000 586
 
< 0.1%
13500 580
 
< 0.1%
11000 572
 
< 0.1%
17000 572
 
< 0.1%
17500 571
 
< 0.1%
14000 570
 
< 0.1%
16500 569
 
< 0.1%
16000 569
 
< 0.1%
Other values (501301) 1821324
99.7%
ValueCountFrequency (%)
0 57
< 0.1%
100 1
 
< 0.1%
119 1
 
< 0.1%
154 1
 
< 0.1%
200 13
 
< 0.1%
ValueCountFrequency (%)
9999999 12
< 0.1%
9375662 1
 
< 0.1%
8700253 1
 
< 0.1%
6057411 1
 
< 0.1%
5915440 1
 
< 0.1%

total_bal_ex_mort
Real number (ℝ)

Distinct202944
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51298.31288
Minimum0
Maximum2921551
Zeros1309
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:20.889427image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6550
Q120933
median38011
Q364709
95-th percentile139833.6
Maximum2921551
Range2921551
Interquartile range (IQR)43776

Descriptive statistics

Standard deviation50191.28016
Coefficient of variation (CV)0.978419705
Kurtosis51.36569794
Mean51298.31288
Median Absolute Deviation (MAD)20083
Skewness4.010014136
Sum9.372842992 × 1010
Variance2519164604
MonotonicityNot monotonic
2023-03-02T01:39:20.972009image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1309
 
0.1%
20275 50
 
< 0.1%
19095 50
 
< 0.1%
20346 50
 
< 0.1%
24006 49
 
< 0.1%
19855 49
 
< 0.1%
24214 49
 
< 0.1%
23068 49
 
< 0.1%
27257 48
 
< 0.1%
20317 48
 
< 0.1%
Other values (202934) 1825374
99.9%
ValueCountFrequency (%)
0 1309
0.1%
1 19
 
< 0.1%
2 14
 
< 0.1%
3 21
 
< 0.1%
4 10
 
< 0.1%
ValueCountFrequency (%)
2921551 1
< 0.1%
2698600 1
< 0.1%
2688920 1
< 0.1%
2644442 1
< 0.1%
2336791 1
< 0.1%

total_bc_limit
Real number (ℝ)

Distinct15856
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23543.45328
Minimum0
Maximum1569000
Zeros20805
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:21.128797image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2400
Q18400
median16500
Q330800
95-th percentile68200
Maximum1569000
Range1569000
Interquartile range (IQR)22400

Descriptive statistics

Standard deviation23283.33465
Coefficient of variation (CV)0.9889515516
Kurtosis30.44988095
Mean23543.45328
Median Absolute Deviation (MAD)9800
Skewness2.963604979
Sum4.301683208 × 1010
Variance542113672.6
MonotonicityNot monotonic
2023-03-02T01:39:21.214891image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20805
 
1.1%
5000 13918
 
0.8%
6000 12433
 
0.7%
10000 12169
 
0.7%
7000 11790
 
0.6%
8000 11537
 
0.6%
3000 11373
 
0.6%
4000 11345
 
0.6%
7500 11028
 
0.6%
9000 10854
 
0.6%
Other values (15846) 1699873
93.0%
ValueCountFrequency (%)
0 20805
1.1%
100 14
 
< 0.1%
200 213
 
< 0.1%
250 3
 
< 0.1%
251 1
 
< 0.1%
ValueCountFrequency (%)
1569000 1
< 0.1%
1105500 1
< 0.1%
1090700 1
< 0.1%
760000 1
< 0.1%
719500 1
< 0.1%
Distinct185661
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43901.75179
Minimum0
Maximum2118996
Zeros219702
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:21.309327image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115000
median32809
Q359022
95-th percentile125876
Maximum2118996
Range2118996
Interquartile range (IQR)44022

Descriptive statistics

Standard deviation45264.63697
Coefficient of variation (CV)1.031043982
Kurtosis28.41970848
Mean43901.75179
Median Absolute Deviation (MAD)20809
Skewness3.098977392
Sum8.021398824 × 1010
Variance2048887360
MonotonicityNot monotonic
2023-03-02T01:39:21.390846image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 219702
 
12.0%
10000 11183
 
0.6%
15000 8640
 
0.5%
20000 7117
 
0.4%
5000 6862
 
0.4%
12000 5482
 
0.3%
25000 5131
 
0.3%
6000 4608
 
0.3%
8000 4346
 
0.2%
7000 2962
 
0.2%
Other values (185651) 1551092
84.9%
ValueCountFrequency (%)
0 219702
12.0%
36 1
 
< 0.1%
44 1
 
< 0.1%
59 1
 
< 0.1%
75 1
 
< 0.1%
ValueCountFrequency (%)
2118996 1
< 0.1%
2101913 1
< 0.1%
2000000 1
< 0.1%
1840000 1
< 0.1%
1665437 1
< 0.1%

hardship_flag
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
N
1827116 
Y
 
9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 1827116
> 99.9%
Y 9
 
< 0.1%

Common Values (Plot)

2023-03-02T01:39:21.469366image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
Cash
1758133 
DirectPay
 
68992

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash
2nd rowCash
3rd rowCash
4th rowCash
5th rowCash

Common Values

ValueCountFrequency (%)
Cash 1758133
96.2%
DirectPay 68992
 
3.8%

Common Values (Plot)

2023-03-02T01:39:21.531254image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.9 MiB
N
1810175 
Y
 
16950

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 1810175
99.1%
Y 16950
 
0.9%

Common Values (Plot)

2023-03-02T01:39:21.594936image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

loan_status_dv
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9269201615
Minimum0
Maximum1
Zeros133526
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size13.9 MiB
2023-03-02T01:39:21.643268image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2602675793
Coefficient of variation (CV)0.2807874832
Kurtosis8.762533435
Mean0.9269201615
Median Absolute Deviation (MAD)0
Skewness-3.280628574
Sum1693599
Variance0.06773921282
MonotonicityIncreasing
2023-03-02T01:39:21.699386image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1693599
92.7%
0 133526
 
7.3%
ValueCountFrequency (%)
0 133526
 
7.3%
1 1693599
92.7%
ValueCountFrequency (%)
1 1693599
92.7%
0 133526
 
7.3%